AI consulting for professional services.
Professional-services firms have the same AI dilemma as agencies: the production layer compresses, the strategy layer doesn't. We help you keep margin where it belongs.
The work professional-services firms run by hand.
These are the operations we've seen compress the most when professional-services firms hand them to a well-built AI workflow — measured against the actual hours your team spends, not a vendor demo.
- 01
Proposal drafting, scoping, and pricing for new engagements
- 02
Project-status reporting and stakeholder communications
- 03
Intake, qualification, and matter/engagement-setup workflows
What we typically ship.
Real workflows we've built for professional-services firms. The right starting point for your team will be one of these — or a remix.
- 01
Proposal & scope agent
Drafts proposals and SOWs from a structured intake conversation, pulls from your engagement library, and routes for partner sign-off before any number reaches a client.
- 02
Status & comms agent
Drafts weekly client status updates from project-tracking data and team notes, in the format and tone your engagement-partner expects. Partner reviews; AI doesn't send.
- 03
Intake & qualification agent
Captures new-engagement inquiries, runs a fit-check against your standards, and routes qualified opportunities to the right partner with the context they need.
Discovery → Pilot → Production.
Every engagement starts with a one-week sprint — audit, ADR, and a written go / no-go on the operation you want to hand to AI. Roughly one in four pilots gets killed at that step; that's the point.
If we move to a build, you ship a single end-to-end agent on real data inside three to six weeks. We hand off repo, prompts, and runbook. Retainers exist for care and growth — never for lock-in.
see engagement model →Questions professional-services firms ask us.
If something you're chewing on isn't here, send it to team@phaselink.ai — partner-written reply within one business day.
- What about confidentiality across competing client engagements?
- Per-client data isolation by default. Separate vector stores, separate access controls, separate prompts. The AI does not see across walls you wouldn't let a junior associate cross.
- Does this work with our PSA stack — Salesforce, HubSpot, Asana, Notion?
- Yes — all four are first-class integrations. We also work with Mavenlink, Kantata, and custom CRMs. We sit on top of the stack you have.
- How do you price this so we don't commoditize what we bill clients?
- Our work is engagement-based and on you, not on your clients. We help you structure your client offerings around outcomes (project completion, ARR captured, KPIs hit) so AI throughput is a margin lever rather than a price-cut signal. Talk to us about pricing before tools.
Send us your most expensive operation.
We'll have an audit on your desk in five days.
One PDF. No deck. No obligation. We'll tell you whether AI is the right answer for it — and if it is, we'll quote the build the same week.