07 Services
Multi-agent workflows that split the job instead of stretching the prompt.
Several specialized agents on one process. Each job is named. Handoffs are rules. A person approves before anything sends. Harder to keep reliable than a single agent. That is why we take it one process at a time.
Problem
One agent cannot own a process that already has handoffs.
Most teams do not have a multi-agent problem. They have a process that already passes through three desks: research, draft, check, send. Putting that whole chain in one prompt does not make it a system. It makes a longer guess.
A single agent is the right build when the job is one loop: answer from documents, draft the email, extract the invoice. The moment the work is several jobs that can disagree, one model starts dropping a step or inventing a check it did not run.
The useful version is narrower: name each job, give each agent only that job, hand off with a rule, and keep a person on the last gate. If that sounds heavier than a chatbot, it is. That is the point.
- A process with three or more manual handoffs that one bot was asked to swallow
- Drafts that skip the policy check because the same prompt also had to write
- Research that looks done until someone notices the source was not verified
- No record of which step failed when the output is wrong
Who
Who this is for.
Teams whose process already has specialists — not a shop that needs a wider chatbot.
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01
A chain, not a ticket
Research, draft, check, send already live as separate desks. Collapsing them into one prompt is how the check disappears.
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02
The single bot hit a wall
The first automation works. The next step needs a different job, a different source, or a different standard. That is a second agent, or it is a person.
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03
Specialization actually matters
One person researches. Another writes. A third checks price and policy. Those are not the same prompt with extra instructions.
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04
A human still signs
You will take a draft that waits for approval. You will not take a process that sends because the model felt done.
Examples
What this looks like in practice.
Named jobs. Named handoffs. A person on the last gate.
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Lead research into a proposal
One agent gathers the account from the CRM and public sources. A second drafts. A third checks price and policy. Nothing sends until a person says yes.
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Ticket to a drafted resolution
Triage names the type. A specialist agent drafts from the right SOP. A checker flags what the SOP does not cover. A person posts the reply.
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Inbox that must not skip compliance
A drafter writes from the thread. A checker reads only the rules. Disagreement is a handoff, not a merge the model performs in private.
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Ops pack across several tools
Extract from the PDF, fill the sheet, draft the customer note. Each step is a job with its own source. Failure at one step stops the chain.
Process
How the work runs.
Nothing starts as a swarm. We name the jobs first. Then the handoffs. Then a person on the gate.
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01
Name each job
What each agent is allowed to do, what it must not do, and where a person stays in the chain. If that is fuzzy, it is not a multi-agent build yet.
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02
Write the handoffs
What gets passed, what counts as done, and what happens when two agents disagree. Disagreement is a designed path, not a surprise.
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03
Wire the sources
CRM, docs, Slack, email — each agent sees only what its job needs. Test the ugly cases: missing data, a failed step, a checker that rejects the draft.
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04
Launch with a checkpoint
One process, watched. The last step waits for a person until the misses are boring. Optional retainer after that. No lock-in.
Integrations
Wired to what you already run.
We plug in. The workflow does not wait on a new stack.
- HubSpot
- Gmail / Outlook
- Google Docs
- Slack
- Google Sheets
- PDFs
- Helpdesk
- Web chat
Outcomes
What changes when it ships.
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01
Each job has an owner
Research does not also write. The check is not a sentence the drafter added at the end.
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02
Handoffs you can see
When the output is wrong, you can name the step. That is how you fix it.
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03
A person still approves
The chain stops at a gate you chose. Sending is not the model’s decision.
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04
Heavier than one agent, on purpose
If a single loop would do, that is the build. This exists for the processes that already had specialists.
Studio
Other ways we can help.
- AI automation services When one loop is enough
- Custom web applications When the tool is the bottleneck
- Voice AI for businesses When the leak is the phone
- Workflow automation consulting Whether this is even the right tier
- Website design and development When the site is the bottleneck
- AI automation for e-commerce Orders, stock, and support
Enquire
Tell us where the friction is.
Write where the work is stuck. I read it and reply. No build commitment.