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Professional Services

Knowledge intelligence, proposal workflows, and engagement-margin tools for firms that bill on time, expertise, or both.

Professional Services operating environment · representative photograph of the work this industry runs.
01Operating reality

What the work usually looks like.

A consultancy, agency, or specialty firm with engagements run out of project tools (Asana / Jira / Smartsheet), knowledge in Notion or Google Workspace, and finance in QuickBooks or NetSuite. Senior people lose hours per week reconstructing context from past engagements. Proposals are slow to draft. Realization is opaque until the engagement is mostly done.

SYSTEM SKETCHProfessional Services· Professional ServicesSYSTEMS OF RECORDORCHESTRATIONHUMAN GATENotionGoogle WorkspaceSlackAsana / JiraNetSuiteAI LAYERProfessional ServicesSEARCHABLE ENGAGEMENT MEMOR…PROPOSAL AND SOW DRAFTING F…TIME-AND-MATERIALS MARGIN A…ACTION-ITEM EXTRACTION AND…Engagement partnerREVIEWERApproveRejectAskLAYER, NOT REPLACEMENT · HUMANS ON EVERY CONSEQUENTIAL DECISION
Typical systems we sit overNotionGoogle WorkspaceSlackAsana / JiraNetSuiteQuickBooksZoom
02Bottlenecks

Where we tend to find the constraint.

  • Senior partners as a bottleneck for context that should be searchable
  • Proposals drafted from scratch when 70% of the content is reusable
  • Engagements going over-budget without anyone noticing until close

~70%

of proposal content we typically find reusable from past wins · yet search across SharePoint, Drive, Notion, and Slack averages 30+ minutes per drafter before anyone writes the first paragraph.

03Workflows we ship

What we typically build for operations like yours.

01

Searchable engagement memory

Trigger

Team member asks "what did we decide on X account?"

AI step

RAG over transcripts, docs, emails; return paragraphs with citations

Human review

Partner approves answers being marked canonical

Output

Answer with sources surfaces in chat; canonical answers indexed

02

Proposal + SOW drafting

Trigger

Lead qualifies; partner kicks off proposal

AI step

Draft from structured intake + 70% reusable content from past wins

Human review

Partner reviews and edits before sending

Output

Final proposal sent; archived as new reference for future drafts

03

Engagement margin alert

Trigger

Daily burn check on T&M engagements

AI step

Compare actual hours vs estimate; flag at-risk engagements

Human review

Engagement lead investigates and decides corrective action

Output

Alert in dashboard + Slack; action plan logged

04

Action-item extraction

Trigger

Meeting transcript ready

AI step

Extract action items + propose owners + due dates

Human review

Account lead approves before assignments are sent

Output

Items routed to Slack / Asana with owner + due date

04Why HITL matters here

Where the human gate goes, specifically for this industry.

In professional services the deliverable is judgement. AI surfaces and drafts; partners and engagement leads approve, edit, or rework before anything reaches a client. We design the search and proposal surfaces around that constraint, not around it.

Sample approval surface

Subject

Proposal for engagement M., 3 prior wins surfaced as candidate precedents

Flagged
  • 2 are recent and same-industry
  • 1 is older but won on the same budget tier
  • Partner must pick the 2 strongest before drafting begins
Approver

Engagement partner

05Reference builds

Related work we’ve shipped.

Professional Services

AI Knowledge & Meeting Intelligence

Sits over Google Workspace + Slack + your meeting stack

Every meeting searchable; action items auto-routed

Read the case →

Next step

Have an operation in this shape?

We'll start with a 2-week Discovery against your real systems. If we're not a fit we'll say so on the call and point you somewhere useful.

Discuss your operationSee the four-phase model