Secure AI assistants built on your organisation's knowledge.
Your employees already spend hours searching SharePoint, Microsoft Teams, emails, documentation, policies, and internal systems for information they know exists. An Enterprise AI Assistant transforms that experience by providing secure, conversational access to your organisation's knowledge while respecting permissions, governance, and compliance requirements.
You need a practical route from AI demand to controlled adoption
Most organisations have an access problem, not a knowledge problem.
Critical information is spread across Microsoft SharePoint, Teams, emails, documentation, policies, and internal systems.
Employees waste valuable time searching multiple systems or asking colleagues for information that already exists.
An Enterprise AI Assistant brings those knowledge sources together into a single, conversational interface, making trusted information available in seconds.
Start small, prove value, scale safely.
Typical duration: 2-4 weeks. Guide price from £15,000.
A focused AI assistant pilot that connects an agreed set of organisational content into an AI assistant with appropriate identity, permissions and safeguards.
Assessment
Clarify data, architecture, governance and blockers.
Pilot / PoC
Test one workflow against a measurable KPI.
MVP
Integrate the validated solution with real users.
Production
Add scaling, security, monitoring and ownership.
Managed Services
Hand over clearly or continue with managed services.
The principle: Start with business priorities, connect existing systems, create trusted data products, and define clear ownership and governance.
Enterprise AI Assistants delivering value in real workflows
Legal technology
Legal inbox assistant delivered in 10 days
A legal-technology team needed to reduce shared-inbox administration and connect emails, approved legal content and Jira work items without disrupting existing legal workflows or removing human oversight.
We delivered a modular Azure-based AI assistant that ingested incoming email, retrieved relevant legal content, drafted responses and created structured Jira tasks, with mandatory human review before action.
Benefits
- Delivered as a working PoC in 10 days.
- Reduced manual inbox triage by 40-60% during testing.
- Produced draft responses in seconds and created a clear path to MVP.
Construction workforce compliance
AI document validation at scale
A major solutions provider needed to process roughly 1,000 document types. Inconsistent scans, layouts and data quality made manual extraction and validation slow and error-prone.
We built an Azure document-processing AI solution that extracted key fields, applied validation rules and flagged missing, incorrect or expired information for human review.
Benefits
- Reduced administrative workload by more than 75%.
- Automated high-volume document processing and revalidation.
- Improved compliance visibility, alerts and auditability.
AI assistants built for Microsoft Azure
Our AI assistants integrate with Azure OpenAI, Azure AI Search, Microsoft Entra ID, Sharepoint, Teams, Outlook, Microsoft Fabric, Power BI and many more.
Azure-native identity & permissions
Entra ID and RBAC preserve organisational access controls.
Human-in-the-loop workflows
AI prepares and recommends while humans remain accountable.
Monitoring & incident paths
Logs, alerts and escalation processes are designed before go-live.
Maintainable after handover
Documentation and knowledge transfer reduce vendor dependence.
It's more than a chatbot. It's an AI Assistant.
The goal is to measurably improve how your team operates.
From opportunity to production
Start with a defined scope, known entry point and an explicit decision at the end.
AI Readiness Assessment
From £5,000
A structured assessment of your use case, data, architecture, security, governance and operating model.
✓ Production-readiness gaps identified
✓ Architecture and data risks mapped
✓ Governance requirements clarified
✓ Stop / prepare / pilot / production recommendation
Knowledge Assistant PoC
From £15,000
Validate one workflow against agreed technical and business success criteria.
✓ One measurable KPI
✓ Governance and compliance controls
✓ Human review where required
✓ Defined go / no-go production decision
FAQ
Where should we start with enterprise AI?
Start with the business workflows, data sources, governance requirements and risks that matter most. Our AI Production Readiness Assessment helps prioritise use cases and define a practical roadmap before larger investment.
Can you help if we already have an AI prototype?
Yes. We can assess the prototype, stabilise architecture, data, identity, evaluation, monitoring, cost control and operational readiness, or rebuild it as a secure Azure-native MVP.
How do you keep enterprise AI controlled?
We design approved data sources, permission-aware access, human review points, evaluation criteria, logging, cost controls, operational ownership and responsible AI safeguards into the solution from the start.
Do you build knowledge assistants and decision support tools?
Yes. We build permission-aware knowledge assistants over approved internal content and decision support pilots that extract evidence, support scoring and generate explainable recommendations while keeping decisions controlled.