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Professional services

Research, proposal, and delivery agents.

Agentic AI helps expert teams turn firm knowledge, client context, and project obligations into faster, more consistent delivery.

What it does

Gives expert teams a controlled delivery engine.

Faundra Labs builds agents that search approved knowledge, assemble client context, draft artifacts, track commitments, and hand work back to consultants, lawyers, accountants, or analysts for judgment.

Who it helps

Built for expert teams that need leverage without lowering quality.

Primary buyers

  • Managing partners and practice leaders
  • Heads of delivery, PMO, and knowledge management
  • Sales, proposal, and account leadership
  • Risk, legal, and quality reviewers

Not ideal for

  • Unreviewed client advice or legal opinions
  • Firms without approved source libraries or reusable templates
  • Work where quality standards are informal and undocumented

Operating model

Systems, controls, and outcomes are designed together.

Common systems connected

  • Document management, knowledge bases, CRM, and proposal tools
  • Project management, time tracking, email, and meeting notes
  • Template libraries, approved credentials, research sources, and client records

Controls and governance

  • Approved-source retrieval and citation-backed drafts
  • Client confidentiality boundaries and matter-level permissions
  • Expert approval before client delivery, advice, or commitment language

Example outcomes

  • Faster first drafts for proposals, briefs, and research notes
  • Better reuse of firm knowledge and prior work
  • Fewer missed obligations across active engagements

Before and after

Before

Teams search past work manually, rebuild similar drafts, and track obligations across notes and inboxes.

With Faundra

The agent assembles source-backed drafts and keeps commitments visible.

Benefits

Where value shows up.

More leverage

Reduce time spent on repetitive first drafts and status preparation.

Reusable knowledge

Turn prior work, templates, and lessons learned into guided agent behavior.

Better delivery control

Track owners, due dates, risks, and client obligations across projects.

Higher quality drafts

Ground outputs in approved sources and require expert approval before client use.

Examples

Practical deployments.

Proposal agent

Builds a first draft from scope notes, credentials, reusable sections, and pricing rules.

Research synthesis agent

Compares sources, summarizes findings, and prepares a citation-backed analyst brief.

Project obligation agent

Extracts commitments from emails and documents, then tracks owners and deadlines.

Account planning agent

Combines CRM, meeting notes, and market signals into a relationship plan.

Flow

How the agent works.

01

Search

Use approved repositories, CRM records, templates, and project material.

02

Assemble

Create drafts, briefs, task lists, and comparison tables with clear source references.

03

Review

Route drafts through expert approval and capture feedback for future improvement.

Best first pilot

Start with proposal drafting or obligation tracking.

A strong first deployment is a repeated proposal type, account planning workflow, or project commitment tracker for one practice area.

  • Inputs: winning proposals, templates, credentials, pricing rules, project notes, and approval standards.
  • Success measures: first-draft time, reuse rate, reviewer edits, missed-obligation reduction, and client-ready quality.
  • Human approval: required for client advice, pricing, legal language, delivery commitments, and final external documents.

Give your expert teams a smarter operating layer.

Discuss your workflow