Industry · Professional services

AI for client delivery

We build AI for consultancies, agencies, and professional services firms — proposal drafting, client intake, firm knowledge bases, and citation-grounded copilots that accelerate delivery without sacrificing quality or confidentiality.

60%Faster proposals
KB retrieval
100%Cited
3–4 wkPilot start
Industry context

AI that knows your firm

Professional services run on institutional knowledge, repeatable frameworks, and fast turnaround. We deploy RAG over past engagements, templates, and policies — with access controls and citation binding so associates start from firm quality, not blank pages.

01

Firm knowledge RAG

Search past proposals, SOWs, and deliverables with matter-level isolation.

02

Proposal acceleration

First drafts from briefs, scope libraries, and pricing frameworks for partner review.

03

Intake automation

NLU triage, conflict checks, and routing to the right practice lead.

04

Confidential by design

Tenant isolation, RBAC, audit logs, and VPC deployment options.

Use cases

Where pro services AI delivers

Use cases for consultancies, agencies, and advisory firms.

Proposals

Proposal & SOW Drafting

Generate scoped proposals from client briefs using firm templates, rate cards, and past winning engagements.

  • Template libraries
  • Partner review
  • CRM export
RAG

Firm Knowledge Base

Query methodologies, case studies, and deliverables with citation-bound answers over privileged corpora.

  • Matter isolation
  • Hybrid retrieval
  • Access controls
Intake

Client Intake

Automate intake forms, qualify opportunities, and route to partners with SLA tracking.

  • NLU triage
  • Conflict checks
  • Salesforce sync
Research

Research Assistants

Summarize industry reports, competitive landscapes, and client materials for engagement teams.

  • Source binding
  • Export to slides
  • Version control
Delivery

Delivery Copilots

Meeting prep, status updates, and deliverable outlines grounded in project context.

  • Tool use
  • Human review
  • Audit trails
Contracts

Contract Review

Compare MSAs and SOWs against firm playbooks with clause extraction and risk flags.

  • Redline assist
  • Playbook match
  • Word export
01Can firm AI keep client data confidential?

Yes — VPC and on-prem options with strict RBAC, audit logging, and matter-level data isolation so engagements never cross-contaminate.

02How do you prevent hallucinations in proposals?

Citation-grounded RAG, template constraints, confidence thresholds, and mandatory partner review before client delivery.

03Which systems do you integrate with?

Salesforce, HubSpot, Microsoft 365, Google Workspace, SharePoint, and custom CRM/PSA tools via API.

04How fast can we pilot?

Most firms start with one proposal type or knowledge base in 3–4 weeks, expanding after partner validation.

Next step

Ready to accelerate your firm?

Tell us about your practice areas — we'll design knowledge RAG and proposal AI with proper confidentiality controls.