Professional Services

Professional services firms sell expertise. AI handles the documentation that surrounds it.

Partners spending hours on proposals that are 70% similar to the last one. Managers building client status reports manually from PSA data on Friday afternoon. Staff calling senior colleagues for methodology guidance that is already documented somewhere.

We build AI systems that handle the proposal generation, knowledge retrieval, and client reporting layer of professional services operations, so your billable staff spends more time on billable work.

How we work

Tell us about your proposal or client operations workflow.

What we build.

Five specific AI workflows for professional services operations.

Proposal and SOW generation from past wins

AI retrieves relevant past proposals, extracts the sections that match the current opportunity, and generates a first-draft proposal or statement of work. Principals spend time refining, not rebuilding from scratch.

Engagement letter drafting

Generate engagement letters from a structured intake (client name, service scope, fee terms, start date) using your firm's standard templates. Reduces partner time on routine documentation without reducing quality.

Time entry review and categorization

AI reviews time entry descriptions against engagement codes and billing guidelines, flags vague entries, suggests corrections, and categorizes entries for WIP and billing review. Reduces write-offs from billing disputes.

Client status report generation

Pull project milestone data, budget utilization, and deliverable status from your PSA, and generate client-ready status reports in your firm's format. Managers stop assembling reports on Friday afternoons.

Internal knowledge base Q&A

A RAG system trained on your methodology documents, past engagement deliverables, and industry research answers staff questions with source citations. New staff ramp faster. Senior staff stop answering the same methodology questions repeatedly.

Who we build for.

Management consulting firms with proposal-intensive new business processes
CPA firms and accounting practices with high client communication volume
IT services firms with complex SOW and change order workflows
Law firm operations teams managing non-billable documentation at scale
Professional services SaaS companies adding AI to their platforms

Who this isn't for.

Firms where every engagement is one-of-a-kind with no reusable content
Proposal and SOW automation works when there is a library of past work to learn from. Pure strategy boutiques where every engagement is structurally novel get less value from generation and more value from search and research tools.
Companies looking for AI to write deliverables without staff review
Client deliverables (reports, memos, analyses) require your firm's professional judgment and accountability. AI drafts sections and retrieves relevant precedents. Professional staff review and own the output.
Solo practitioners
A solo consultant's time savings from proposal automation does not justify a custom build, and our engagements are scoped for teams with more complex documentation needs. Off-the-shelf AI tools serve that use case better.

Frequently asked questions.

How do you protect client data confidentiality?: Client data within your AI system is isolated to your deployment. It is not shared between clients or used to train models that serve other organizations. We configure access controls so staff only see client data they are authorized to access, mirroring your existing engagement security model. We provide a data processing agreement that covers your obligations to clients under typical professional services engagement terms.
Can this integrate with our PSA or ERP system?: We have integrated AI systems with ConnectWise, Mavenlink, BQE Core, NetSuite, and Microsoft Dynamics via their APIs. Time entry review and client status reporting benefit the most from PSA integration. Proposal generation works from a document library without PSA integration. We scope the integration requirements on the discovery call.
How accurate is AI-generated proposal content?: Accuracy depends on how well your past proposal library is organized. AI retrieves the most relevant past proposal sections and structures them for the current opportunity. It does not generate from general knowledge. The main accuracy risk is in customization gaps, places where the current opportunity differs from past work. We build the review workflow so your team can catch and address those gaps efficiently.
How do you keep the knowledge base current as methodology evolves?: The knowledge base is not static. It is a live document library with an update workflow. When methodology documents are updated or new engagement deliverables are added, they re-index automatically. The currency of the knowledge base is proportional to how well your firm maintains its document library. We help you design the maintenance workflow as part of deployment.

Ready to recover partner and manager time from documentation?

Tell us which documentation or reporting workflow consumes the most senior staff time per engagement. We will reply within one business day with a rough scope and price range.

Professional services firms sell expertise. AI handles the documentation that surrounds it.

We build AI systems that handle the proposal generation, knowledge retrieval, and client reporting layer of professional services operations, so your billable staff spends more time on billable work.

What we build.

Five specific AI workflows for professional services operations.

Proposal and SOW generation from past wins

Engagement letter drafting

Time entry review and categorization

Client status report generation

Internal knowledge base Q&A

Who we build for.

Management consulting firms with proposal-intensive new business processes

CPA firms and accounting practices with high client communication volume

IT services firms with complex SOW and change order workflows

Law firm operations teams managing non-billable documentation at scale

Professional services SaaS companies adding AI to their platforms

Who this isn't for.

Firms where every engagement is one-of-a-kind with no reusable content

Proposal and SOW automation works when there is a library of past work to learn from. Pure strategy boutiques where every engagement is structurally novel get less value from generation and more value from search and research tools.

Companies looking for AI to write deliverables without staff review

Client deliverables (reports, memos, analyses) require your firm's professional judgment and accountability. AI drafts sections and retrieves relevant precedents. Professional staff review and own the output.

Solo practitioners

A solo consultant's time savings from proposal automation does not justify a custom build, and our engagements are scoped for teams with more complex documentation needs. Off-the-shelf AI tools serve that use case better.

Frequently asked questions.

How do you protect client data confidentiality?

Client data within your AI system is isolated to your deployment. It is not shared between clients or used to train models that serve other organizations. We configure access controls so staff only see client data they are authorized to access, mirroring your existing engagement security model. We provide a data processing agreement that covers your obligations to clients under typical professional services engagement terms.

Can this integrate with our PSA or ERP system?

We have integrated AI systems with ConnectWise, Mavenlink, BQE Core, NetSuite, and Microsoft Dynamics via their APIs. Time entry review and client status reporting benefit the most from PSA integration. Proposal generation works from a document library without PSA integration. We scope the integration requirements on the discovery call.

How accurate is AI-generated proposal content?

Accuracy depends on how well your past proposal library is organized. AI retrieves the most relevant past proposal sections and structures them for the current opportunity. It does not generate from general knowledge. The main accuracy risk is in customization gaps, places where the current opportunity differs from past work. We build the review workflow so your team can catch and address those gaps efficiently.

How do you keep the knowledge base current as methodology evolves?

The knowledge base is not static. It is a live document library with an update workflow. When methodology documents are updated or new engagement deliverables are added, they re-index automatically. The currency of the knowledge base is proportional to how well your firm maintains its document library. We help you design the maintenance workflow as part of deployment.

Ready to recover partner and manager time from documentation?

Tell us which documentation or reporting workflow consumes the most senior staff time per engagement. We will reply within one business day with a rough scope and price range.