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Professional services AI that uses prior expertise.

Make prior work, client notes, proposals, project docs, and delivery playbooks searchable and actionable for teams.

Workflow Showcase

How custom professional services systems operate.

We map each production workflow: where we connect the context systems, the custom workbench we build, how human operators review outputs, and the compliance metrics we deploy inside your cloud.

01 // Context Ingestion

Consolidated client matter search.

Enterprise AI search crawls historical proposals, deliverable briefs, client records, and advisory playbooks, providing staff with cited answers.

Client Cloud Ingestion100% Hosted in Client Network
Matter Folders
SOW Templates
Consultant Calendars
Project Timelines
Unified CoreSOW Proposal Brief
02 // Custom Solution

Custom proposal and brief writer.

Custom workflow tools draft project agreements, technical briefs, and client reports based on successful past projects.

Intelligent Search ToolCited Answers
Source Query / Symptom

Draft cited reply regarding customer billing issue.

Grounded AI Summary

Billing dispute resolved. Customer was charged double due to duplicate ledger sync on May 12 [Stripe logs p.1]. Suggested correction compiled.

Stripe logs p.1May 12 ledger
03 // Partner Review Gate

Project margins and capacity monitor.

Smart checkers monitor project progress and consultant availability, flagging scope drift before profitability is impacted.

Human-in-the-Loop Review GateSafety Control Queue
Active Safeguard Verifications
1. SOW Limits Verified Checked
2. Consultant Slots Active Checked
3. Proposal Export ReadyReview Pending
Use Cases

Where this becomes a scoped first release.

Each use case is linked to the services that would actually build it. Case studies appear only where the proof matches the workflow.

03industry

Knowledge reuse system

Help consultants find prior deliverables, experts, methods, and templates with permission-aware citations.

First Release

Start with client brief and proposal assistant.

The first build should have named source systems, a clear owner, realistic examples, and one measurable handoff point before expanding across the team.

Review Boundary

Keep judgment with the operating team.

AI can retrieve, draft, score, classify, and recommend. Material commitments, sensitive updates, and uncertain cases should pause for human approval.

Not A Fit

Do not automate unclear work.

If the process has no stable source of truth, no accountable reviewer, or no repeatable decision pattern, we recommend fixing the workflow before adding agents.

Case Studies & Resources

Next Step

Map the professional services workflow before choosing the model.

We identify the context sources, action boundaries, review gates, and launch path needed for a safe first release.

Talk to an AI Engineer