Agent

Credentials & precedent search

Credentials and precedent search answers the question every pursuit opens with: have we done this before, and for whom. It searches the engagement archive, the deliverable library and the credentials material, then returns the closest matches with a link to the original work and a note of any restriction on naming the client. The consultant reads the source and decides what is fair to put in a pitch.

How it runs

Step by step

01

Describe the pursuit in plain terms

The consultant states the sector, the problem and the kind of work being proposed. No search syntax and no knowledge of the archive is needed.

02

Search the engagement archive

The agent searches your document management system, Confluence, Notion and Drive under the permissions the consultant already holds.

03

Rank by closeness to brief

Matches are ordered by how closely the problem, the sector and the type of work line up, with the reason for each ranking shown.

04

Show what each engagement covered

For every match it summarises the scope, the deliverables produced and the team shape, so a manager can judge relevance without opening ten folders.

05

Mark the naming restrictions

Where an engagement letter restricts naming the client, the match carries that flag before anyone drafts it into a pitch.

06

Consultant opens the source

Each result links to the original deliverable so the consultant reads the real thing before reusing it. The agent writes nothing back and sends nothing out.

The harness

Exactly what this agent can see, touch and change

The same five controls sit behind every ollo agent. These are this one's settings — visible before you build it, not buried in an admin screen afterwards.

Context

What reaches the model

Partners and managers assembling a pitch at short notice, and anyone new to the firm who does not yet know which engagements to ask about.

Escalation

When it asks a person

This agent changes nothing outside ollo, so it runs without an approval gate. Its output is still cited and reviewable.

Applications & Rights

Which tools it uses, and what it may do in each
SharePointRead only
ConfluenceRead only
NotionRead only
Google DriveRead only

Verification

How you know it’s right

Every claim links to the document it came from. A statement the agent cannot cite does not make it into the output — which is what makes the result reviewable in minutes rather than re-read end to end.

Who it’s for

Partners and managers assembling a pitch at short notice, and anyone new to the firm who does not yet know which engagements to ask about.

What you’ll need

  • Engagement archive connected
  • Access rules mapped to teams
  • Client naming restrictions recorded
  • Search scope agreed per practice

What you get

  • A ranked shortlist of prior engagements
  • A link to each original deliverable
  • A note of client naming restrictions

What it doesn’t do

It finds and ranks; it clears nothing for external use. Whether a client may be named in a pitch is a decision for the partner and the engagement letter, and the agent only flags that a restriction exists.

How you get it

We build the first one with you

Not a template you configure alone. We sit with your team, build it on real data, and hand over the controls.

01

Scope

One session with the people who actually do the work. We agree what the agent reads, what it may write, and who approves.

02

Co-build

Built on your own data, not a sandbox. You watch it being made, so you know why it behaves the way it does.

03

Handover

You own the controls. Change the context, tighten the rights, move the approval gate — without coming back to us.

What it replaces

Parts of the work currently spread across the categories below. It does not replace any of those products outright.

Firm-wide has-anyone-done-this emailsManual credentials huntingGuesswork about prior work
Estimated savingNot setNo figure ships until someone at ollo owns it and the method behind it.

Frequently asked

Can a consultant see a client file they are walled off from?

No. The agent searches with the consultant's own permissions, so a walled folder is invisible in the results rather than shown and blocked. If your firm keeps ethical walls in the document management system, they carry over exactly as they are.

How does it treat old engagements that are no longer representative?

Results carry the engagement date and the agent marks a match as dated when the work is old relative to the sector. It does not hide old work, because a decade-old engagement is often the closest precedent, but it will not present it as current.

Does it write anything to our systems?

No. This one only reads and answers on screen. Nothing is written back, nothing is sent, and there is no approval step because there is nothing to approve.

What does a new joiner get out of it?

Most of the value, honestly. Someone in their first month can find the firm's work on a topic without knowing which partner to ask, and every answer points at the original file so they learn the archive as they use it.

Let's Build

AI is a capability you build. Let's build it together.

30 minutes with our team and you'll leave with a real plan — not a sales pitch.