Proposals and RFP responses
Requirements are pulled out of the RFP and matched against every proposal the firm has written. The associate edits a first draft instead of hunting for one.
AI built into professional services, without changing who signs off on the work.
For engineering, legal, and advisory firms. Faster drafting, faster lookups, less time hunting for precedent.
An RFP lands and an associate spends the first day finding the proposals that already answer half of it. A report waits on a consistency check. Timesheets get chased. We rebuild that work.
Billable hours disappear into the RFP, the report, and the timesheet.
Reports and client deliverables
Drafting, citation checks, and consistency checks happen before a reviewer opens the document, so the first draft moves from days to hours. The reviewer's time goes to the judgment.
Timesheets, invoices, and internal paperwork
AI reads and checks them and flags what needs a second look, so routine admin that ate up hours takes minutes. Every step is logged for audit.
Professional Services work that is running today.
Why it holds up in professional services.
Every line traces back to your own precedent
The drafting is grounded in the firm's own proposals, reports, and methodology, and each claim carries a link to the document it came from.
Eighty ideas become three
At one Canadian engineering consultancy, the AI Jumpstart took more than 80 candidates to 3 high-conviction AI use cases. Two pass-or-fail screens come first, then a ranking on value, feasibility, and risk.
Whatever the sector, the delivery model is the same.
It runs in your systems, not ours
The code lives in your repository and your cloud, whether that is Azure, Google Cloud, or AWS, behind your own access controls. There is no Architech platform to lock into.
Controls built into the workflow
A person signs off where it matters, access is scoped by role, and every action is traceable. The AI Foundations Blueprint proves how AI reaches your data before any build begins, so your security lead sees the pattern before code is written.
Measured against your KPI, on a clock
Outcome Assurance ties the system to the business metric the workflow was built to move, not to model scores. From the start of a Transformation Blueprint, the first workflow is typically live in 5 to 7 weeks. If the KPI does not move, the workflow is not done.
What professional services leaders ask before starting.
- Could client data from one matter reach another?
- No. Access is scoped to the matter, so a lookup on one client's file cannot reach another's. Your information governance lead sees exactly what the AI can and cannot open.
- Will our professional indemnity insurer accept this?
- We cannot speak for your insurer. The two things they ask about first are both in the workflow: a licensed professional reviews every deliverable, and that review is logged.
- Our associates already use consumer AI tools without telling anyone. Is that a problem you fix?
- Yes. It replaces the workaround with a workflow the firm controls: the same speed, on the firm's own precedent. It adds the review step and the audit trail the workaround never had.
Free · About 2 minutes
What is the status quo costing you?
Pick the workflow that matters most and set the sliders to how the work runs. Every figure is built from your own numbers, not our projections.
No savings promises. A structural read on how much of one workflow's annual cost sits in the steps AI typically touches.
Open the cost calculator
Built entirely from your own numbers. The diagnostic later opens pre-filled with what you set here, so nothing is asked twice.
What you get
- A dollar figure for what one workflow costs to run for a year, at your settings
- The cost of waiting, projected over the months until you act
- The share of that cost sitting in the steps AI typically touches: sorting, routing, looking things up, and drafting
- A one-page summary you can download and forward to a CFO or CEO
- A direct hand-off into the diagnostic, pre-filled with what you set
Tell us what's slowing your operation down.
Name the part that costs too much or takes too long. We come back with where AI can move the number and how an AI Jumpstart would scope it.
For Professional Services operations.
Prefer to talk to an engineer first?
Talk to an AI EngineerRedesign the professional services workflow that matters most.
Three weeks, executive-led, paid. The AI Jumpstart ends with the two or three places AI would pay for itself, what each is worth, and a clear go or no-go. If one moves into a Transformation Blueprint, the Acceptance Guarantee applies: criteria agreed in Week 1, no fee if the Blueprint's outcomes are not accepted.
