Grounded retrieval
Your documents and records indexed and cited, so answers can be checked against a source.
Generative AI & Agents
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Data & AI
Assistants and agents grounded in your own content.
Generative AI is useful in the enterprise when it is grounded — answering from your policies, contracts, tickets and product data, with a citation, rather than from general knowledge.
We build retrieval-grounded assistants and task agents over the content you already hold, with the access model of the underlying system respected so nobody sees through a chat window what they cannot see in the source.
Agents go a step further and act: raising a ticket, drafting a response, extracting a document into a transaction. Each action gets a defined scope, an approval point where it matters and a log.
Evaluation matters more than the demo. We build a test set from real questions and measure answer quality against it, so a change to the prompt or the model is a measured change rather than a hopeful one.
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Solution
What We Put In Place
Retrieval-augmented assistants over your documents and records, answering with citations and inheriting source-system permissions.
Task agents scoped to specific work — triage, drafting, extraction, summarisation — with approval gates on anything that writes to a system of record.
An evaluation harness and usage telemetry, so quality, cost per interaction and adoption are all measured after go-live.
Modules
Everything The Solution Covers
Use-Case Assessment
Content Ingestion & Chunking
Vector Search & Retrieval
Grounded Assistants
Task & Workflow Agents
Document Extraction
Permissions & Data Boundaries
Evaluation & Guardrails
Human Approval Workflows
Usage & Cost Telemetry
What We Deliver
Generative AI & Agents Capabilities
Agent design
Scoped tasks, tool access, approval gates and logging for anything that writes back to a system.
Safety and permissions
Source-system access inherited, sensitive-content handling, guardrails and a retained interaction log.
Evaluation
A test set from real questions, measured answer quality, and cost per interaction tracked after launch.
Outcomes
Outcomes that move your business forward.
We measure success by the impact we create. Here's what good looks like when Generative AI & Agents is running the way it should.
Request a ConsultationAnswers that carry a citation you can open
Responses are grounded in your own content, so a user can verify the source instead of trusting the phrasing.
No visibility a user did not already have
Assistants inherit the permissions of the source system, so the chat window is not a way around access control.
Actions logged and approved where it matters
Agents that write to a system of record do so through a scoped, logged path with approval on the risky steps.
Quality measured after launch, not assumed
An evaluation set and usage telemetry make a prompt or model change a measured decision rather than a hope.
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Have a technology priority to solve?
Tell us what you are trying to achieve. We will bring together the right capability, technology and delivery model to help move it forward.