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AI in your industry
AI solutions that speak your language
Every sector has its own headaches, so we don’t offer generic AI solutions. We build practical assistants designed for the real-world grit of your specific daily workflows - the documents, the compliance hurdles, and the tight deadlines. Our AI platform is already giving teams their time back and taking the stress out of the "must-get-it-right" moments. But don’t just take our word for it – how many of these challenges sound familiar to you?
Construction & engineering
Professional services & advisory
Financial services
Property & facilities management
Online businesses & marketplaces
Construction and engineering
Navigating the complexity of RFPs and technical documentation is a constant bottleneck. Our AI assistants ingest your specific historical bid data and project requirements to help your teams draft accurate technical responses, manage compliance checklists, and identify risks in contracts instantly. We help you move from manual grit to streamlined precision, giving your engineers back the time to focus on the build.
Financial services
Online businesses and marketplaces
Professional services and advisory firms
Property and facilities management
Frequently asked questions
General
Construction
Financial Services
Neologik usually complements existing systems by integrating into them; in some cases it can reduce reliance on point solutions for manual document handling or basic automation. We also make existing tools, like Copilot and Claude, work in an enterprise, by providing guardrails to ensure consistent responses and a full audit trail.
There are many construction use cases that you can start with: say Health & Safety policy documents provided in any language, or bids/RFPs automatically completed, or estimated QS from drawings. Anything with documents, text and lots of it. Each Agent should return an obvious ROI or else don't do it!
AI is still at an early stage of maturity with perhaps the first 15% of the market making meaningful progress. The Law of Diffusion suggests that, for any technology, there are early adopters, followers and laggards. We recommend building some level of experience as an early adopter so you are ready to ride the wave.
For financial services we often see workflow and document processes as the first use cases. Imagine those that require minimal creativity and are often checking documents against a list of criteria, cutting and pasting data or answering queries. A good example would be automating the audit and response to FCA regulations.
Online businesses and marketplaces
The speed of your response is often the difference between a sale and a bounce. Our AI agents handle the first layer of customer inquiries, ticket routing, and listing moderation, ensuring your platform never sleeps and your human team only touches the high-value edge cases.
Professional services and advisory firms
Your expertise is what clients pay for, not your ability to search through folders. We build deep-knowledge assistants that can cite your firm’s specific history and precedents, drafting high-stakes documents and audit reports that your seniors can review in minutes, not hours.
Property and facilities management
Managing a portfolio means tracking a thousand moving parts—from lease expiries to maintenance logs. Neologik sits across your facilities data to flag risks before they become costs and automates tenant communications, ensuring your operations are reactive, governed, and smart.
Operational Logic
Neologik is an enterprise AI platform that helps organisations build, deploy, and scale AI assistants and intelligent automation within real business workflows.
Neologik provides enterprise-ready governance patterns to all your AI agents, as well as a library of "ready to go" use cases for your industry. Stop using 100s of tools and start using a platform.
Neologik is designed for business leaders, operations teams, IT/security, and data/AI teams that need practical AI in day-to-day processes.
Neologik supports healthcare, financial services/insurance, retail/eCommerce, manufacturing/supply chain, energy/utilities, telecom, public sector, education, and professional services.
Neologik is business first, technology second. We focus on in quarter ROI and selecting the right use cases, accelerating deployments from our vast library of modules. We deploy AI into operational processes with governance, security, and fast time-to-value.
Neologik is both: a scalable AI platform and a solutions partner that helps design and implement AI use cases end-to-end.
Core capabilities of the platform include AI workflow automation, document intelligence, RAG/knowledge search, LLM assistants, predictive analytics, integrations/APIs, and monitoring/governance.
Yes. Neologik offers tailored demos and (when applicable) sandbox/POC environments to validate your use case.
Typically within days. Many teams run a first pilot in 2–4 weeks and reach production for an initial use case in ~4–8 weeks depending on integrations.
Yes. Neologik supports global deployments across regions and time zones and can handle enterprise requirements for distributed teams.
Yes. Non-technical users can use guided interfaces and workflow templates to run processes, review outputs, and make decisions without coding.
Yes. Engineers and data teams can use APIs, connectors, configuration tools, and governance features to integrate and extend Neologik.
AI LLMs work well with large amounts of information, for use cases like research, analysis, summarisation and production of content. They can be used to run workflows and create business outputs (like documents). We find these are the most common use cases.
Yes. Neologik supports structured POCs designed to prove measurable value quickly on one high-impact workflow.
Typical timelines: POC 2–4 weeks; first production use case 4–8 weeks; then incremental scaling across teams and workflows.
Yes. Neologik can share case studies and success stories, subject to confidentiality and customer permission. What industry are you in?
Yes. Neologik supports enterprise security, RBAC, audit logs, governance, scalability, and flexible deployment options.
Yes. Neologik integrates with enterprise systems via APIs/connectors (CRM, ticketing, ERP, data warehouses, storage, identity/SSO, and internal tools).
Neologik supports mid-market to large enterprises, and any organization with repeatable workflows and high-volume operations.
Low for end users and business teams; power users/admins learn configuration quickly; technical teams can integrate via APIs with standard engineering practices. Our primary user interface is Microsoft Copilot.
ROI depends on volume and complexity, but customers commonly see measurable savings through automation, faster resolution times, and reduced operational overhead—often delivering payback within months.
Yes. Neologik supports enterprise security, RBAC, audit logs, governance, scalability, and flexible deployment options.
Typical timelines: POC 2–4 weeks; first production use case 4–8 weeks; then incremental scaling across teams and workflows.
ROI depends on volume and complexity, but customers commonly see measurable savings through automation, faster resolution times, and reduced operational overhead—often delivering payback within months.
By automating repetitive work, reducing rework/errors, accelerating throughput, deflecting tickets, and minimising the effort required to find information and complete tasks.
Intake, triage, routing, document review/extraction, summarisation, report generation, knowledge search, drafting emails/responses, and routine operational approvals.
It shortens time-to-resolution by automatically classifying requests, surfacing relevant knowledge, suggesting responses, and executing workflow steps end-to-end.
It accelerates delivery by reducing manual process bottlenecks and enabling teams to operationalise AI assistants and automations quickly across workflows.
Many teams see significant time savings on targeted workflows (often 20–50%+ productivity improvements), depending on process maturity and automation scope.
Customer support, operations, finance, compliance, procurement, HR, and IT service management teams typically see the fastest financial impact.
Lower cost-to-serve, improved throughput, faster decisions, reduced risk/compliance exposure, higher customer satisfaction, and scalable automation across departments.
Neologik usually complements existing systems by integrating into them; in some cases it can reduce reliance on point solutions for manual document handling or basic automation. We also make existing tools, like Copilot and Claude, work in an enterprise, by providing guardrails to ensure consistent responses and a full audit trail.
Cost per case, time-to-resolution, SLA attainment, ticket deflection rate, first-contact resolution, throughput, accuracy, compliance/audit readiness, and CSAT/ESAT.
By establishing baseline metrics, defining target KPIs, tracking adoption, accuracy, deflection/time saved, and validating outcomes through ongoing reporting dashboards.
Yes. It can deflect tickets via self-service assistants, improved knowledge retrieval, and automated handling of common requests.
Yes. By improving support speed/quality, consistency, and proactive engagement signals, Neologik can positively impact retention and reduce churn risk.
Faster responses, more consistent answers, better self-service, and fewer escalations lead to improved CSAT and customer experience.
Assistants provide guided, role-specific knowledge and workflows, helping new hires resolve tasks faster with less dependency on SMEs.
Standardises processes, enforces policy-based workflows, maintains audit trails, and reduces human error in regulated tasks.
Commonly within a few months for high-volume workflows; timing depends on automation scope, integration complexity, and adoption.
TCO includes platform subscription, deployment/integration effort, and ongoing operations; Neologik reduces TCO by minimising custom build and maintenance burden.
Data preparation, change management, integration work, internal SME time for validation, and ongoing governance/monitoring.
Neologik platform software is priced in two components. The centralised service (Neologik Content Engine) starts at £250 per month and then every Agent you deploy to the platform costs £500 per month. We would expect the ROI on each agent to be a net positive multiple of that cost.
The cost model is central platform and agent. There is no concept of "per seat" or any other volume limitations on outputs.
Yes, consumption-based models can be supported for workloads where usage varies significantly.
Yes. Enterprise plans include advanced security/governance features, SLAs, and deployment support options.
No.
Yes—trials/POCs can be offered depending on scope and customer requirements. We can occasionally seek support from AI platform vendors, like Microsoft and Anthropic. Get in touch if you'd like to know more.
An agent/assistant is a configured AI workflow entity (copilot or automation) deployed for a team or use case; pricing may scale by number of assistants or usage.
It's best to think of custom integrations as separate items, scoped individually.
Document ingestion may depend on volume, frequency, and processing needs (e.g., OCR). Pricing can reflect workload scale.
Not for Neologik, but if the Neologik Agents consume information from your business systems via an API then there may be costs from those other vendors.
You host the Neologik platform on your Azure subscription. There are costs but you have full viability and control of those.
Yes. Usage caps and budget controls can be configured to manage spend and prevent unexpected overages.
Yes. Annual commitments typically come with discounts compared to monthly billing.
Yes. Discounts are commonly available for larger deployments and higher usage volumes.
Standard business payment methods are supported, including invoicing for enterprise customers.
Yes. Purchase orders and invoicing are supported for enterprise procurement processes.
Yes. Neologik is designed for phased rollouts—start with one workflow and scale across teams and use cases.
Support is included at a standard level; premium support/SLA options are available for enterprise plans. For example, we offer services to help support the Neologik Azure infrastructure if you need that extra capacity.
The solution is installed on your Azure subscription, so you are responsible for ensuring said compliance.
Neologik is currently working towards ISO27001 compliance for our own business. Any deployments in your Azure subscriptions will be subject to your own ISO controls.
Yes. Neologik supports GDPR-aligned controls including data handling practices, access controls, and retention policies.
HIPAA-aligned deployments are supported if you currently have a HIPAA certified environment. Neologik can plug in to that.
RBAC, SSO/SAML, encryption in transit/at rest, audit logging, environment separation, and configurable governance/policy controls.
Customer data never leaves your own IT infrastructure.
Data storage depends on the selected deployment (cloud region, private cloud, or on-prem) and customer residency requirements.
Yes, assuming you deploy your Azure instances to the relevant geos.
No.
Neologik maintains detailed audit logs for user activity, access, and critical actions; logs can be exported/integrated with monitoring tools.
Yes. Security documentation and questionnaires can be supported for enterprise vendor risk reviews.
No—customer data is never used to train shared models. Neologik has no access to your data except when you allow it for time-boxed windows (deployment and updates). The Microsoft contract specifically precludes them from using your data for any training purposes, too.
Customer data is not shared with third parties except as required to operate approved infrastructure/model providers under contract.
Yes. Data and access can be segmented with RBAC, namespaces/workspaces, and policy controls.
PII can be detected, protected with access controls, and handled per policy (masking/redaction/retention).
Yes. Export options can be provided for documents, metadata, and logs depending on deployment.
Neologik is both: a full platform (UI + governance) and an API-first system for embedding into existing apps.
We can share the architecture under NDA.
Microsoft Azure is our primary cloud provider. We are in discussions with AWS to produce a version of Neologik hosted on AWS.
Yes. Neologik is deployed on Kubernetes technology in your Azure subscription.
Yes. RBAC is supported to control access by role, team, and data domain.
Neologik supports separate environments and governance for dev/test/prod, aligning to enterprise SDLC standards.
Yes. Neologik integrates with data warehouses and lakehouses via connectors and APIs.
Common integrations include CRM, ITSM, knowledge bases, document storage, chat tools, email, databases, and data platforms.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Yes. Neologik can integrate with this system via native connectors, APIs, or custom integration patterns depending on your environment.
Neologik supports multiple LLM providers, enabling model choice based on cost, accuracy, latency, and data constraints.
Yes. Neologik can support any model available in Microsoft Azure AI Foundry.
Yes. Neologik can support any model available in Microsoft Azure AI Foundry.
Yes. Neologik can support any model available in Microsoft Azure AI Foundry.
Yes. Neologik can support any model available in Microsoft Azure AI Foundry.
Yes. Neologik supports model abstraction so teams can switch models or upgrade models with minimal disruption.
Yes. Neologik can route requests across models using a controller agent and structured sub agents.
Model routing can be configured using rules (intent, sensitivity, cost, latency) and performance evaluation metrics.
Yes. Different assistants/workflows can be configured to use different models.
Fine-tuning can be supported where appropriate; many use cases are solved with RAG and prompt/agent configuration first.
Yes. Neologik supports Retrieval-Augmented Generation (RAG) to answer with enterprise knowledge.
Neologik ingests documents, extracts text/metadata, chunks content, builds searchable indexes (vector/keyword), retrieves relevant passages, and generates grounded answers.
Yes. Hybrid retrieval is supported for better precision and recall.
By grounding responses with RAG, applying safety/validation rules, offering source citations, and using confidence signals with human-in-the-loop options.
Yes. Neologik can provide citations to the documents used to generate an answer.
Yes. It can link to source documents and the specific referenced passages/chunks where available.
Yes. Neologik supports ingestion from common enterprise formats and sources; exact connectors depend on your deployment and source systems.
Yes. Neologik supports ingestion from common enterprise formats and sources; exact connectors depend on your deployment and source systems.
Yes. Neologik supports ingestion from common enterprise formats and sources; exact connectors depend on your deployment and source systems.
Yes. Neologik supports ingestion from common enterprise formats and sources; exact connectors depend on your deployment and source systems.
Yes. Neologik supports ingestion from common enterprise formats and sources; exact connectors depend on your deployment and source systems.
Yes. Neologik supports ingestion from common enterprise formats and sources; exact connectors depend on your deployment and source systems.
Yes. Neologik supports ingestion from common enterprise formats and sources; exact connectors depend on your deployment and source systems.
Updates can run on a schedule or continuously, depending on the connector and your preferences.
Yes. Automated sync is supported so additions/edits are reflected in the knowledge base.
Yes. It can detect duplicates using hashes, metadata, and semantic similarity checks.
Yes. It can flag stale content based on timestamps, ownership, and usage patterns.
By applying ranking rules, metadata precedence, ownership controls, and (optionally) surfacing multiple sources for review.
Yes. Documents can be tagged with metadata such as department, region, and sensitivity.
Yes. Access policies can restrict documents by user, role, group, or workspace.
Yes. RBAC and content governance allow restricting sensitive content by role.
Documents are split into semantic/size-based chunks optimized for retrieval; chunking can vary by document type.
Yes. Chunk size and overlap are configurable to balance retrieval accuracy and cost.
Yes. Retrieval can be filtered by metadata like department, region, document type, and sensitivity.
Yes. Taxonomy-based semantic filtering and classification can be supported.
An AI agent is a configured assistant that can reason over enterprise knowledge and perform actions via approved tools and workflows.
Yes. Agents can trigger workflows and take actions through tool/function calling with safeguards.
Yes. With the right permissions and integrations, Neologik agents can perform this action as part of workflows.
Yes. With the right permissions and integrations, Neologik agents can perform this action as part of workflows.
Yes. With the right permissions and integrations, Neologik agents can perform this action as part of workflows.
Yes. With the right permissions and integrations, Neologik agents can perform this action as part of workflows.
Yes. With the right permissions and integrations, Neologik agents can perform this action as part of workflows.
Yes. With the right permissions and integrations, Neologik agents can perform this action as part of workflows.
Neologik supports approval steps, policy gates, and human-in-the-loop controls before actions are executed.
Yes. Human review and escalation paths are supported for safety, quality, and compliance.
Yes. Agents can be configured as read-only or constrained to specific tools/actions.
Yes. Policies can control data access, allowed actions, refusal rules, and sensitive-topic handling.
Yes. Neologik supports staging/testing environments to validate behavior before production release.
Yes. It supports multi-step, conditional workflows with tool calls and state management.
Yes. It can retrieve and synthesize across multiple sources while maintaining citations.
Yes. Tool/function calling is supported for integrations and automated actions.
Yes. Configurable memory can be supported with controls over what is stored and retained.
Yes. Dashboards can track usage, adoption, performance, cost, and operational metrics.
Yes. Admin analytics can show user queries and trends (with access controls).
Yes. Evaluation metrics, feedback, and review workflows can track accuracy and quality.
Yes. Deflection and containment metrics can be tracked for support use cases.
Yes. Time savings can be estimated and measured via workflow metrics and baseline comparisons.
Yes. Conversation review, audit logs, and governance controls support compliance review.
Yes. Conversation history and playback can be available for review and QA.
Yes. Logs can be exported for audit and compliance purposes.
Yes. SIEM integrations can be supported for security monitoring and alerting.
Yes. Performance monitoring includes latency tracking and system health metrics.
Yes. Usage analytics can track tokens/cost by assistant, team, or time period.
Yes. Alerting can be configured for failures, downtime, and workflow exceptions.
Yes. Assistants can be configured for tone, guardrails, knowledge scope, and behavior policies.
Yes. Multiple assistants can be deployed per team, department, or use case with separate governance.
Yes. Brand voice and response style guidelines can be enforced through configuration.
Yes. System prompts and instruction layers can be customized with governance controls.
Yes. Business rules and workflow logic can be configured for approvals, routing, and compliance.
Yes. Refusal and restricted-topic rules can be configured to prevent unsafe or non-compliant responses.
Yes. UI components and widgets can be customized/embedded depending on deployment needs.
Yes. Neologik can be embedded into internal portals or external websites via SDK/API and secure deployment options.
All the documents and data stay in your IT estate on your Azure subscriptions.
There are many construction use cases that you can start with: say Health & Safety policy documents provided in any language, or bids/RFPs automatically completed, or estimated QS from drawings. Anything with documents, text and lots of it. Each Agent should return an obvious ROI or else don't do it!
You don't need to do a full data platform exercise. You can start with one Agent and get the data and documents organised for that one use case. You can then build from there.
AI will change jobs and we see a different mix of jobs forming. There may even be more jobs in the future, perhaps requiring different skills. AI is taking over the mundane work and freeing up time for more creativity.
You will see results within weeks from a Proof of Value. Our customers are regularly surprised with how transformative the agents are in this short time.
AI is still at an early stage of maturity with perhaps the first 15% of the market making meaningful progress. The Law of Diffusion suggests that, for any technology, there are early adopters, followers and laggards. We recommend building some level of experience as an early adopter so you are ready to ride the wave.
The use case must present a powerful ROI and it must be accurate and reliable enough to be useful.
We can help you assess use cases and figure out where to start.
AI can help by reviewing, analysing and creating all your reporting automatically.
We would like our customers to become self-sufficient, using our platform to make this easier than having to full code answers. There is a period of knowledge transfer and we are also on hand if you have capacity constraints.
For financial services we often see workflow and document processes as the first use cases. Imagine those that require minimal creativity and are often checking documents against a list of criteria, cutting and pasting data or answering queries. A good example would be automating the audit and response to FCA regulations.
We add this to our list of criteria in the first workshop. A use case must present a real improvement in revenue, cost or risk, such that the deployment of that agent would generate an ROI 10x the cost, else we don't recommend it.
It depends, but you often don't have to do a massive data "clean up" before you engage on an AI project. You can often achieve great things with a small document dataset.
You deploy Neologik on your environment so you are responsible for this. Neologik has tools to ensure only the authorized people can see the information.
Every implementation is different, but the patterns are similar. If your system has an open API structure then we can usually do this quite quickly. The harder part is understanding the schemas and datasets.
Neologik can help with that directly, by analysing your data, documents and communications systems and providing a report.
Workforce planning and change management/adoption is a critical component of a successful AI transformation. We can help with this.
We find that the best AI transformations are led by the CEO and the Board.
We can measure and evaluate the accuracy of the outputs, and then iterate our variables to get better results.
Each AI transaction is logged in our database, with input>model>output context for full audit trail.
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