Managent Consultant

The AI consultant that joins your team.

A backend member for your consulting projects. It learns the project, drafts the deliverables, reviews the team's work, and answers to you, embedded in your workflow, governed by your rules.

01. What it is

A backend team member, not another chat window.

Managent Consultant works inside a dedicated space for each project, the proposal, the client's data, meeting transcripts, correspondence. It reads everything, builds a living knowledge base where every fact cites its source, and carries a workstream like a rigorous analyst: proactive about gaps, structured in writing, honest about uncertainty. Your team keeps the client relationship and the judgment. The consultant does the heavy lifting behind it.

02. What it does

The work a strong backend consultant would carry.

ingest

Learns continuously

Every file, transcript, and email is classified, organized, and distilled into the project's knowledge base, contradictions flagged, never papered over.

draft

Drafts deliverables

Analyses, documents, and models grounded strictly in the source data, with every figure traceable and gaps marked instead of invented.

review

Reviews the team's work

Six-pass quality reviews of your deliverables: consistency, arithmetic, completeness, unsupported claims, and where the work could expand.

report

Writes status reports

Progress against plan, blockers, aging data requests, risks with mitigations, ready for the project lead to send.

request

Chases information

Formal, numbered information requests tied to a master data matrix, precise enough that the client sends the right thing the first time.

email

Lives on email

Every project gets its own address. CC it on client mail and data drops, everything lands in the project's memory automatically.

methods

A real methods library

Dozens of consulting methods on tap, issue trees, business cases, due diligence, slide storylines, fetched on demand, always the latest version, curated by Managent.

versioning

Version control built in

Every document and decision is tracked with git: full history of what changed and when, roll anything back, audit any date. The consultant sets it up and manages it, you never touch it.

efficiency

Token-smart by design

Documents are digested once into lean, AI-native formats; revisions cost diffs, not re-reads. Predictable AI usage without anyone on the team having to think about tokens.

03. How it works

Your repository is the consultant's brain.

No new platform to learn. The consultant runs where your files already live, and every project is fully self-contained and isolated.

Step 1

Start a project

Say new project for Acme and hand it the proposal. It sets up the project, reads the scope, and lists every piece of data you'll need from the client, before the kickoff.

Step 2

Feed it the project

Drop files into the inbox or CC the project's email address. Meeting transcripts, data dumps, client correspondence, raw inputs are kept immutable, so there is always an untouched original.

Step 3

It learns, with receipts

The consultant maintains the project brief, glossary, decision log, and open questions. Every claim cites the source file it came from. If new data contradicts what the client said last Tuesday, you hear about it.

Step 4

It produces. You approve.

Drafts, reviews, and reports appear in the project; outbound email waits in an outbox. Humans promote work to final and humans hit send, the consultant never publishes on its own.

04. Governance

Confidentiality by architecture, not by promise.

Client confidentiality is the asset consulting runs on. The governance layer is structural, enforced by how the system is built, and audited end to end.

Project isolation

One client, one sealed space. Client A's data can never inform Client B's work, not as context, not as patterns, not at all.

Your data stays with you

The knowledge base and client files live on your infrastructure. Email transits our bridge in encrypted transit only and is deleted on delivery.

Humans hold the gates

Draft-first email with a recipient allowlist; client-facing sends always require a human. Nothing becomes final without your approval.

Full audit trail

Every read, draft, and send is logged and versioned. You can answer "what did it know, produce, and send" for any date. When a project closes: archive or purge, your call.

05. FAQ

The questions consultants ask first.

Where does my client's data live?

On your machines. The project files, client files, the knowledge base, every draft, exists only on your computer. Our cloud holds account data, project routing, and email in transit, which is deleted the moment it lands in your local inbox. We never store your client's documents.

How is confidentiality actually enforced?

By architecture, not by promise: one sealed space per client, no cross-project reads, outbound email is draft-first with a recipient allowlist, humans approve everything final, and every action is logged and versioned. The governance policy ships inside each project and the consultant is bound by it.

What do I need to run it?

A Claude subscription that includes Claude Cowork, plus a Managent Consultant account. Setup is one copy-paste: your project's setup prompt, pasted into Cowork, installs and configures everything, about ten minutes end to end.

How does the email capture work?

Every project gets its own address, like acme.digital-core@mail.managent.com. CC it on client correspondence and data drops; when you next say "check the mail", everything lands in the project's inbox and knowledge base, and is deleted from our relay.

Which AI does it use, and does it train on my data?

Claude, by Anthropic, running under your own subscription on your machine. Your client data is not used to train models, and nothing about your projects flows back to us, methodology updates flow down, data never flows up.

Can my whole team use it?

Yes, each consultant signs in with their own account, and projects live under your organization with shared governance rules and a shared mailbox per project.

How do you keep AI usage (and cost) under control?

By design, not by discipline. Every incoming document is converted once into a lean, AI-readable digest; after that the consultant works from summaries and only opens the original when truly needed. Drafts iterate as lightweight text and are rendered to Word or PowerPoint once, at the end. Methods are fetched only when used. The result: the tenth revision costs about as much as a paragraph, and nobody on the team needs to know what a token is.

What does it cost?

Subscriptions are per organization. New organizations start on a full-featured pilot, book a demo and we'll set up your first project together.

What happens when a project ends?

Your call, recorded in the project's governance config: archive the files or purge them entirely. Nothing from a closed project ever informs another client's work.

06. Book a demo

Put a consultant on your next project.

Thirty minutes: bring a real proposal, and watch it build the project brief and the first data request in front of you.

Book a demo →