AI Dev Team for Consulting Firms | RFPs, Decks, Utilization

Turn Old SOWs Into New Proposals Before Your Next RFP Deadline

Consulting firms lose partner hours to work that isn't billable: rebuilding a proposal from scratch because the last one lives in someone's Google Drive, turning three weeks of interview transcripts into a client-ready deck the night before a steering committee, or chasing associates for timesheets so utilization numbers are right for the Monday partner meeting. A Build Pod embeds with your existing stack — Jira, Harvest, QuickBooks, your case-study archive — and ships working tools for exactly those gaps, not a generic AI chatbot bolted onto your intranet.

What we build for Consulting Firms

Auto-draft RFP responses from your case-study library

Pull relevant past engagements and boilerplate sections into a first-pass proposal draft the moment an RFP lands, so the partner edits instead of starting from a blank doc.

Turn interview transcripts into board-ready decks

Feed raw discovery-call and stakeholder-interview transcripts in and get a structured slide draft — findings, recommendations, appendix — back in your firm's own deck template.

Pull Jira, Harvest, and QuickBooks into one margin view

Reconcile logged hours, billed hours, and project costs across tools automatically so partners see real-time utilization and margin by engagement, not a stale month-end spreadsheet.

How a Build Pod fits

Your Build Pod starts with the two or three tools eating the most partner time — usually proposal drafting and margin visibility — and ships a working version wired into your existing stack within the first sprint. No new system to adopt: outputs land in the deck template, CRM, or dashboard your team already opens every day.

From there the pod keeps building against your actual pipeline: more of the case-study library gets indexed, more transcript types get templates, and the margin dashboard picks up whatever billing quirks your firm runs — blended rates, contingency work, retainers. You're not buying a project, you're keeping engineers who already know your engagements.

Frequently asked questions

How does the Build Pod handle confidential client data from our engagements?

Everything stays inside your environment or a client-approved sandbox — transcripts, case studies, and financials are never used to train external models, and access follows the same permissions your associates already have.

Can it integrate with the tools we already use — Jira, Harvest, QuickBooks, or Salesforce?

Yes, integration with your existing stack is the starting point, not an add-on; we build against whatever combination of project, time-tracking, and accounting tools your firm runs today.

How fast do partners actually see something working?

The first working tool — usually the proposal drafter or the margin dashboard — ships within the first sprint, then the pod keeps extending it against real engagements instead of a static spec.