01
Knowledge assistants
Assistants that answer from approved internal content using retrieval-augmented generation, cite their sources, and respect each user's permissions.
Intelligent action · Service 03
Custom AI & Intelligent Automation
We engineer AI capabilities that are grounded in approved business data, integrated with existing applications, and designed with evaluation, access control, and human review from the start.
When this helps
Problems this service solves
- Staff spend hours searching policies, contracts, and manuals for answers that already exist.
- Documents such as invoices or forms are read and re-keyed by hand.
- AI pilots looked impressive but could not be connected to real systems or approved for production.
- There is no way to measure whether an AI answer is correct before it reaches a customer.
What we deliver
Capabilities
02
Document understanding
Extract structured fields from documents, validate them against business rules, and route exceptions to people instead of guessing.
03
AI-assisted analytics and search
Natural-language access to governed datasets and intelligent search across content, built on the same definitions as your BI.
04
Agents and workflow integration
Task-specific agents that call approved tools and APIs, with defined scope, logging, and approval steps for consequential actions.
Approach
How an engagement runs
- 1
Step 1
Use-case selection
Prioritize problems where AI is the right tool and success can be measured.
- 2
Step 2
Data and risk review
Confirm content sources, privacy constraints, and access rules.
- 3
Step 3
Evaluate
Build test sets and measure answer quality before rollout, not after.
- 4
Step 4
Integrate and monitor
Connect to real workflows with feedback, logging, and human review.
Things we will be honest about
- AI systems make mistakes. We design for that with citations, confidence thresholds, evaluation, and human approval where outcomes matter.
- Model and hosting choices depend on data residency, cost, and security requirements, which we agree with you up front.
Technical context
- Azure OpenAI
- Microsoft Copilot Studio
- LLM integration
- Retrieval-augmented generation
- Vector search
- Natural language processing
- Document AI
- Python
- MLOps
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Related services
- Business Process AutomationFewer manual handoffs, faster and more consistent processes.
- Data Engineering & IntegrationOne dependable data foundation instead of disconnected sources.
- Advanced Analytics & Decision IntelligenceMove from describing what happened to deciding what to do next.
Relevant industry pathways: Pharmaceutical & Healthcare, Financial & Business Services, Automotive & Transportation, Education, Telecom & Technology, Marketing & Advertising, Retail & Consumer Businesses, Logistics & Supply Chain, Professional Services
Ready to talk about AI & Automation?
Describe the problem and your current setup. We will suggest a sensible first step, even if it is a small one.