Services
Hands-on AI implementation.
On the platform you choose.
We do the work between buying AI and benefiting from it: choosing the right uses, redesigning the workflow, connecting your systems, setting controls, training your people and measuring the result.
01Find the right starting point
Fixed fee, starting at $7,500. About 2–4 weeks.
We identify where AI can actually help, map one workflow with its systems, rules, data and access, check the risk and regulatory requirements, and agree on a pilot with a result you can measure.
What you get
- A short list of high-value uses, ranked by benefit and risk
- One workflow mapped: steps, systems, rules, data, access and owners
- A risk and regulatory check (FERPA, GLBA, confidentiality, policy)
- A pilot plan with a baseline and a measurable target
See a sample deliverable02Implement
Scoped together
We configure the platform you choose—or the one you already have—connect it to your systems and data, redesign the workflow around it, set permissions and controls, and test the exceptions, not just the happy path.
What you get
- The platform configured—or your approved one connected
- Integrations to the documents, records and systems the work needs
- A redesigned workflow with automated, assisted and human steps marked
- Permissions, review points and logging, tested against real exceptions
03Train and support
Monthly
Your staff learn on their own work. We leave reusable instructions and documentation, then keep the system current as models, vendors and regulations change—and keep measuring the result.
What you get
- Hands-on training using your team's own work
- Reusable instructions, prompts and operating documentation
- Monitoring of model, vendor and regulatory change
- A regular results report against the pilot's target
How an engagement runs
Six steps from use case to results.
Large consulting firms run this lifecycle for global enterprises. We run the same steps at the scale of one office, one team or one workflow—and stay hands-on throughout.
- 01
Find the valuable uses
Look across the work for the tasks where AI saves real time or reduces real risk, and rank them honestly.
- 02
Check risk and regulation
FERPA, GLBA, client confidentiality, institutional policy and vendor terms decide what AI may touch, and how.
- 03
Redesign the workflow
Decide what is automated, what is assisted, and where a person makes the call. Then document it.
- 04
Set governance and controls
Permissions, review points, logging and a clear owner for every decision the system supports.
- 05
Connect your systems and data
Ground AI in the documents, records and applications your team already relies on, with access limited to what's needed.
- 06
Train, measure, keep current
Staff learn on their own work. We track the outcome and update the system as models, vendors and rules change.
Other organizations we help
Law firms & professional services
Research, drafting and intake assistants that respect client confidentiality and keep a lawyer in charge.
Small businesses
Assistants, agents and bots inside the tools you already pay for—email, documents, scheduling and support.
Enterprise teams
A hands-on implementer who builds alongside your people instead of handing over a strategy deck.