AI AGENT FOR CONSULTANTS

An AI agent team for consultants

An AI agent for consultants produces the client deliverables you sell: proposals, plans and multi-section reports, not drafts to rewrite. C5 by Growther.si compiles them with specialist agents on your own computer, checks each piece against the spec before it counts as done, and exports publication-grade PDFs. Client material stays encrypted on your machine, in a separate workspace per client, rather than with an agent vendor.

  • 64-page transition proposal
  • One workspace per client
  • Deliverables signed at creation
AI Agents That Do Real Work, and Prove It ‣ Growther.si
VIDEO · AI agents that do real work, and prove it · 0:49

Deliverables, not drafts

Consultants sell finished work. The samples below came back as full documents, most with a short summary alongside.

  • Disaster recovery and business continuity — an integrated plan for a bank facing a flood: a 28-page plan and an 8-page summary, produced with local models on a desktop workstation.
  • Environmental review — a multi-disciplinary response to an environmental impact report on offshore wind: 24 pages and a 9-page summary.
  • Operational readiness — a launch readiness review for a crypto exchange: 14 pages and a 6-page summary.
  • Transition proposals — a 64-page proposal to transition a legacy gas facility, with a 9-page summary, produced with open-source models on a desktop computer.
  • Restructuring plans — an international expansion restructuring legal plan that ran for 92 hours on a local model.

How a brief becomes a deliverable

Your brief is usually rough, and that is fine. C5 turns it into a spec with goals, constraints and acceptance criteria, staffs specialists from 17 divisions, runs them in parallel, checks each step and reworks what misses.

How C5 orchestrates a team of agentsA request is planned into a spec, staffed with specialists, executed in parallel, verified, and improved; anything that fails verification goes back for rework.ONE REQUEST → A WHOLE TEAMPlanspec + criteriaStaffpick specialistsExecutein parallelVerifychecked before doneImprovelessons keptrework if it misses
Plan, staff, execute, verify, improve. A step that fails its check goes back for rework instead of reaching you.

You can read the plan before the work starts and redirect it if it is heading the wrong way, which costs far less than a rewrite. More on multi-agent orchestration.

Keep each client's work apart

You work for more than one client, so C5 has workspaces. Each keeps its own projects, files, history and assigned agents, so one client's work does not mix with another's. Budgets, model choices and folder access are set once for the whole install, not per workspace.

  • Signed deliverables — a deliverable is signed when it is produced, recording the workspace it came from. If it is changed afterwards, the signature no longer checks out.
  • Validate before you send — the Library's Validate checks a file is intact and where it came from. Verification is done by your own C5; there is no public key yet, so a client cannot verify a file independently.
  • Projects — keep every task, file and note for one engagement together, and download the whole project as a zip.

C5 is the wrong fit if you need a hosted workspace that clients log into: it runs on your computer, and you send the deliverable rather than invite the client in.

Client material stays on your computer

Client material is under NDA more often than not. C5 is a local AI agent: chats, tasks, results and the files your agents make are stored encrypted on your own computer, and Growther.si does not see them.

A cloud model sees exactly what a task sends it and nothing else, on your own account with that provider. For material that must not leave the machine, run a local model — see what a private AI agent means.

  • Checks on what goes out — before an agent's tool call runs, C5 looks for credentials and personal details such as card numbers and IBANs, and redacts them by default.
  • Protect the laptop — C5's key sits on the same drive as its data, so turn on full-disk encryption in case the machine is lost.

Know what each engagement costs

Each engagement has a cost you should be able to name. Ops breaks spending down by day, task and model, so you can trace a deliverable to the task that produced it; a hard budget cap pauses new work at the amount you set, and local models cost nothing per use. See how to cap what your AI agents spend.

Frequently asked questions

Will my client documents be uploaded anywhere?

No, not by C5 itself: files, history and results are stored encrypted on your computer. If a task uses a cloud model, the text sent for that task goes to that provider on your account. With a local model, nothing has to leave the machine.

Can I review a deliverable before it counts as final?

Yes. Turn Auto Review off and the task waits in the HITL window for your sign-off before it is approved. Big calls always wait for you, and you can read the plan before the work starts.

Can I prove a deliverable came from me?

Yes, within your own C5. It signs each deliverable when it is produced, recording the workspace it came from, and Validate in the Library confirms it has not been changed. There is no public key yet, so a client cannot verify a file independently.

How long does a large deliverable take?

Hours to days, depending on size and model. The samples on this page that record a run time took between 92 and about 166 hours, working unattended while the consultant did other things. Queue several jobs and C5 works through them.

What does an AI agent for consultants cost?

It depends on the plan and the models you use. C5 needs a licence, and its plans are on the Pricing tab. Local models add no per-use cost; cloud model providers bill you directly, on your own account, for what you use.

In the docs

Finished client work, from a machine only you control

Download C5, open a workspace for your first client and hand it a real brief. Checked, signed deliverables come back as PDFs you can send.