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Research and proposal writing with parallel AI agents

Several research agents work in parallel, every figure carries a source, an audit checks the evidence, and a person signs off the proposal.

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On this page (11 sections)
  1. Which research and proposal tasks can agents take on?
  2. What have we done with this in-house?
  3. What does a research agent team look like?
  4. What is in a research team's stop rule?
  5. How long does a research project take?
  6. How is the agent team put together?
  7. What should you prepare before talking to us?
  8. How do you know whether the pilot worked?
  9. How does a pilot with us work?
  10. Related reading
  11. Questions
Demo app recording, sample data only: proposal editor: an agent drafts a response to a sample RFP and highlights lines that a person must check before it is sent
Demo with sample data

Which research and proposal tasks can agents take on?

  • Market and pricing benchmarks from public sources into structured Excel workbooks.
  • Competitor analysis: positioning, services, public pricing and content, like the research behind this website.
  • RFP and tender analysis: requirement checklists, eligibility criteria and deadlines extracted from documents.
  • Proposal drafts: standard sections, approach, timelines and pricing tables from approved templates.
  • Source audits: checking that every figure links to evidence.
  • Literature and policy summaries with citations, for expert review.

What have we done with this in-house?

For the owner's training business, parallel research bots built a course-pricing workbook covering 829 courses, with a source audit of about 6,300 URLs, for a training proposal. It was delivered once, using web research, Excel and Outlook. See the use case and the agent page. It's in-house work, not a client result.

What does a research agent team look like?

A team lead splits the question into slices; several research agents work in parallel; a merge agent standardises columns; an audit agent re-checks sources; and a writer agent drafts proposal sections from verified data only. See blueprints.

What is in a research team's stop rule?

  • Alone: browse public sources, extract data with source URLs, flag uncertainty, and draft from verified data.
  • With approval: any figure used externally and any email draft.
  • Hard stops: logging into paid or private sources without authorisation, contacting third parties, sending email, and presenting unverified figures as fact.

How long does a research project take?

It depends on scope and source quality. Parallel agents make wide research much faster than doing it manually, but the audit and human verification take real time, and we don't skip them.

Our stop rule

The agent drafts, routes and escalates. A person decides. Before anything is built we write down what the agent may do alone, what needs approval, and when it must stop and hand over with the full context attached.

How is the agent team put together?

Every team we build uses the same architecture: a team lead agent that plans and assigns work, specialist agents with narrow jobs and permissions, a shared task board where every task and approval is visible, tools and connectors limited to what each agent needs, scheduled routines for recurring checks and reports, and approval gates wherever money, customers, data or irreversible changes are involved. Every action is logged, live systems are backed up before edits, and a daily summary arrives in chat so a person always knows what happened.

It is the same pattern we use in-house for our 14-bot SEO team, ads agent and site ops agent on the owner's own businesses (in-house systems, not client results). For a new team we start small, usually a specialist, a reporter and the team lead, and add agents only once the first ones are trusted. See how we build agent teams and real in-house use cases.

What should you prepare before talking to us?

You don't need a technical brief. A useful first conversation needs only a few things, and gathering them is valuable even if you never work with us:

  • The process in plain words: what triggers it, who does what, and where it usually goes wrong.
  • Rough volumes: how many messages, orders, tickets or invoices per week. A one-week tally is enough.
  • Your tools: WhatsApp app or API, CRM, sheets, accounting or helpdesk software, including versions or plans where you know them.
  • Three real examples: typical messages or cases, plus one awkward one, with personal details removed.
  • What must never happen: the mistakes that would hurt most. These become the first lines of your stop rule.
  • An owner: the person who will review the workflow once it runs.

Send these on WhatsApp or by email, or run the pilot scorecard first.

How do you know whether the pilot worked?

We agree the success measure before building, and it should be something your team can count without a dashboard project. Typical measures include the share of enquiries logged the same day, time to first response, the number of follow-ups that actually happened, hours spent on the task per week, or the number of escalations that were correctly flagged. We count the baseline before launch (even by hand for a week) and again after a few weeks of running.

We also review the qualitative side with the people involved. Do they trust the drafts? Are handovers arriving with enough context? Are customers asking for a person more or less often? A pilot can hit its number and still need tuning, or miss it and teach you something important. Either way, the decision to keep, tune, expand or stop is yours, made on evidence. We don't publish generic success figures, because results depend on your process, volumes and team.

How does a pilot with us work?

Every engagement follows the same four steps. Consult: you walk us through the process, the tools and where it breaks. Pick the pilot: we choose one workflow and write down its inputs, outputs, tools, stop rule and success measure. Ship: we build it into the tools you already use and test it on real cases. Review: your team checks what the agent did and what it escalated, then decides whether to tune it, expand it or stop. Read the full pilot process.

Questions

Can agents write the whole proposal?

They draft sections from verified data and templates; a person edits, decides pricing and signs off.

What output formats are possible?

Excel, Google Sheets, Word or Google Docs, and slides.

Do you use paid databases?

Only with your authorised access. By default we use public sources.

Next step

Start with one workflow

Tell us which process eats your team's time. You'll get an honest view of whether it's worth automating and what a first pilot would look like.

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Demo with sample data. Scroll or pinch to zoom. Press Esc to close.