Quick Summary
AI for Professional Services: Proposal intelligence, knowledge reuse, and delivery analytics for consulting, accounting, and advisory firms that sell expertise - not spam.
- ·Firms drown in decks and past proposals. We build permissioned knowledge retrieval and opportunity scoring that partners will actually open on Monday morning.
- ·Typical use cases: Proposal / RFP response assist; Firm knowledge retrieval; Opportunity scoring support
- ·Compliance focus: Client confidentiality controls, SOC 2 aligned architecture, Matter walls
- ·Outcome signal: Mon mornings - shorter research + proposal prep cycles
- ·Human-in-the-loop on irreversible decisions; audit trails by default
What gets in the way
We design for the constraints your teams already know - not a lab demo.
- Partner politics and credit attribution
- Confidential client walls
- Inconsistent past-work tagging
- Fear of undifferentiated AI prose
How we approach Professional Services
Firms drown in decks and past proposals. We build permissioned knowledge retrieval and opportunity scoring that partners will actually open on Monday morning.
Related case studyAI use cases we ship
- Proposal / RFP response assist
- Firm knowledge retrieval
- Opportunity scoring support
- Engagement delivery analytics
- Research memo assist over approved sources
Patterns & products we deploy
Compliance & control
We design for the frameworks your buyers and auditors care about. Labels below mean architecture and process alignment - not a claim that Xenqube is certified under every badge on this page.
Questions Professional Services buyers ask
Will this leak Client A into Client B work?
Not if permissioned correctly. Matter and client walls are designed first - retrieval respects ACLs.
Can partners edit everything?
Yes. AI drafts; partners ship. That is how trust forms.
How is this different from ChatGPT?
Your corpus, your permissions, your citations, and your retention policy.