Connecting your firm's tools and data to AI
6 minutes read
A firm's real knowledge lives in SharePoint, Google Drive, Slack, and a dozen other places, not in a folder someone remembered to upload. Here is what connecting AI to that stack actually means.
Connecting your firm's stack to AI means the AI reads your real documents and messages directly from the tools you already use, such as SharePoint, Google Drive, Slack, and Outlook, instead of working from whatever a person happened to paste in. It matters because most of a firm's knowledge never gets pasted anywhere. It sits in a shared drive, a project channel, or an inbox, and a copy-paste workflow only ever reaches the small fraction someone remembered to grab.
That gap is the difference between an AI tool that knows a little about your firm and one that knows what is on file.
Why copy-paste breaks down at any real scale
Copy-paste works for a single document and falls apart everywhere else. The moment a task needs three prior reports, a client's shared folder, and a relevant Slack thread, someone has to track down each one, decide what is still current, and paste it in by hand. That step gets skipped under deadline pressure, and the draft ends up built on less context than the firm actually has.
There is a second cost that matters more over time: a copy-paste workflow has no memory. Every new task starts the search over, even for material the firm has used a dozen times before. Connecting the stack directly removes that repeated searching, because the AI can reach the same documents and channels the team already works in, without someone acting as the manual bridge.
What a connected stack actually adds
A firm's stack is not one thing. Different tools hold different kinds of knowledge, and connecting each one adds something specific to a draft.
| Tool type | Example connectors | What it adds to a draft |
|---|---|---|
| Document storage | SharePoint, Google Drive | Prior reports, templates, and reference material |
| Team messaging | Slack, Microsoft Teams | Context from how a project actually unfolded |
| Outlook | Client instructions and decisions made by email | |
| Delivery formats | Word, PowerPoint, Excel | Output in the format the client already expects |
The first three rows are where the AI reads from. The last row is where the work goes back out, into a document your team can hand off without reformatting it first. A connector that only handles one direction, reading in but never delivering in a usable format, still leaves the last step to a person.
Take a market scan a consultant has to turn around in a day. Without a connected stack, the first hour goes to finding last quarter's version of the same scan in a shared drive, checking a Slack thread for what the client asked to focus on this time, and pulling the client's own brief out of an email chain. With the stack connected, that search is already done before the draft starts, and the hour goes into the analysis instead.
Access rules that carry over, not reset
Connecting a tool never means everyone can suddenly see everything in it. The access rules a firm already runs in SharePoint, Google Drive, or Slack carry over unchanged: if someone cannot open a document today, connecting that tool to AI does not change that. Hebno reads within the permissions those tools already enforce, so the AI never becomes a side door around a firm's existing controls.
This point is worth being explicit about, because it is the one that stops firms from connecting their stack in the first place. The concern is reasonable. Handing a system broad access to a document store sounds like it should widen who can see what. It does the opposite here: the AI operates inside the same boundaries a person already has, nothing more. The security guide covers how those boundaries are enforced end to end, including hosting, encryption, and audit logs.
How to connect your stack without a big-bang rollout
Connecting everything at once is not the goal, and trying to do it in one pass is usually where a rollout stalls. A narrower start gets a team to a useful result faster and shows exactly which connections are worth doing next.
- Pick the one or two tools that hold the most relevant material for the work your team does most often. For most firms that is document storage first, since prior work and templates live there.
- Connect that tool and run a real brief through it, one you would otherwise have researched by hand.
- Compare the draft to what the team produces today without that source connected. The gap shows you what the connection is worth.
- Add the next tool, usually messaging or email, once the first connection is proven out.
- Set an owner for reviewing which connections are active and why, the same way a firm already owns who has access to a shared drive.
None of this needs an engineer to set up or maintain. Connecting a firm's stack is admin-level configuration, not a systems integration project, and it stays that way because it works within permissions that already exist rather than building a new set from scratch.
Where connecting your stack fits
Connecting your stack is one of four things that make AI output actually reflect a firm's own knowledge, alongside prior work, methods, and any client material an engagement permits. The connected knowledge guide covers how all four combine, and why a knowledge-management search box is not the same thing as AI that drafts from what it finds. Once a connection is in place, the sources it surfaces still need to earn a place in a draft the same way any other material does: the approved sources guide covers how a firm decides what it trusts, connected or not.
