Picture the managing partner at a 200-person engineering consultancy. On Monday morning a graduate pings them on Teams asking how to scope a geotech survey for a split-level site on reactive clay. Usually they answer in a thoughtful paragraph that takes them twelve minutes. This Monday, the graduate asks the copilot first. It returns a two-paragraph answer citing the internal standard, the three most recent project reports that dealt with reactive clay, and the firm's scoping template. They see the thread, add one correction, and the correction feeds back into the index. Multiply that by forty graduates and six partners. That is a quiet day.
A copilot is only as safe as the corpus behind it. We classify every content source before a single document is indexed, with your records and legal teams in the room. The default posture is restrictive. Adding a source is a decision; leaving one out is the starting point.
| Content type | Indexed by default | Why |
|---|---|---|
| SOPs and runbooks | Yes | The canonical how-we-do-things content. Highest-value, lowest-risk material in the business. |
| Product and service documentation | Yes | Customer-facing answers, internal product specs, and the history of why features work the way they do. |
| Historical correspondence (with access controls) | Yes, scoped by permission | The "why we decided that" trail. Indexed behind the same access controls as the source inbox or channel. |
| Policies | Yes | Current-version policies only. Superseded versions are flagged so the copilot never cites a retired policy as current. |
| Training material and onboarding content | Yes | The content a new starter would otherwise ask a senior colleague to explain. |
| Past project reports | Yes | The richest source of precedent in professional services firms. Scoped by client confidentiality rules. |
| Personal employee files | No | HR content stays in HR systems. Out of scope regardless of who asks. |
| Anything legally privileged | No, without explicit review | Privileged material is reviewed document by document before any indexing decision. Default is exclusion. |
| Client data containing PII | No | PII is not indexed into the copilot. Where a use case requires it, we design a separate, tightly scoped pattern with your privacy team. |
| Anything marked confidential without classification review | No | If it hasn't been classified, it isn't indexed. No exceptions, no "we'll sort it later". |
Map your content sources: Confluence, SharePoint, Notion, shared drives, email archives, and the intranet nobody admits still exists.
Classify each source. Agree what gets indexed, what stays out, and what needs review before anything goes near an AI.
Stand up the retrieval layer on your existing directory: Entra ID, Azure AD, or Google Workspace. A user only sees what they already had access to.
Build the copilot on a named foundation model with RAG, so every answer cites the source document and refuses to guess when the index is silent.
Deploy into the tools staff already open: Teams, Slack, SharePoint, or a single internal URL. No new login.
Measure answer quality weekly against a curated set of real questions. Retrain prompts and re-index as the corpus changes.
Close the loop. When a partner corrects an answer, the correction is captured and fed back as a reviewed piece of canonical content.
New starters reach useful output faster because the answers they need are one question away, with citations they can read. The partner onboarding them gets their calendar back.
Subject-matter experts stop answering the same handful of questions twenty times a week. The copilot handles the repeats. The expert handles the judgement calls that actually need them.
Twenty years of correspondence, project reports, and internal standards become searchable in plain English. The context survives retirements, holidays, and resignations.
When the current policy is one question away, staff use it. When the current policy is buried on page eleven of a SharePoint site, they guess. The copilot closes that gap.
Internal Knowledge Copilot is a RAG-powered AI assistant grounded in your organisation's SOPs, policies, product documentation, and historical correspondence. Staff ask a question in plain English. It answers with citations to the source document, inside the tools they already use. It surfaces what sits in senior heads so junior staff stop queueing for a five-minute chat.
Every mid-market business has one person who knows everything. The partner who remembers why that indemnity clause was written the way it was. The senior underwriter who can read a submission in ninety seconds. The engineer who has seen every variation of that footing detail. Their calendar is the bottleneck in the business.
Then they take two weeks off. Or they retire. Twenty-three years of context goes with them, and the firm spends the next eighteen months rediscovering things it already knew. New starters learn by interrupting. Policies drift because nobody can remember what was agreed. The same five questions get answered twenty times a week in Slack.
The documents exist. They sit in Confluence, SharePoint, Notion, a shared drive, and a mailbox. Nobody has time to read them, and search returns eighty hits and no answer. The knowledge is already captured. It just isn't reachable.
Production-ready AI agents, chatbots, and multi-agent systems, built senior-led end-to-end.
Learn moreThe operating layer your AI, automation, and analytics run on. Deployed in two weeks.
Learn moreClose the gap between what your data knows and what your business does. The architecture from insight through decision to action.
Learn moreAsk your business a question. Get a cited answer before the meeting ends.
Minutes
from question to cited answer, across 29 sites
Read, extract, and post the document. Leave the humans to handle the exceptions.
60-80%
reduction in manual document-handling hours
30-minute call, no slides, no obligation. We'll tell you plainly whether this is the right fit for what you're trying to do.
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