Ships to production, not slides/Built into your existing tools/Monitoring from week one/Tested before it ships/Scoped and built by the same people/No lock-in — you own the code/Fixed scope, fixed price/Ships to production, not slides/Built into your existing tools/Monitoring from week one/Tested before it ships/Scoped and built by the same people/No lock-in — you own the code/Fixed scope, fixed price/
§ 01 / Practice
What we actually do.
Six focused areas. Each one delivers working software, not slides.
01
AI strategy & roadmapping
We help you figure out where AI is genuinely worth it — and where it isn't. We look at how your teams
actually work, rank the real opportunities, and give you a plan you can act on.
Opportunity reviews
Cost cases
Build vs buy
Governance
02
Production AI applications
We design and build the assistants, agents, and search tools your team uses day to day — with testing,
monitoring, and cost limits built in from the start, not bolted on later.
Assistants
Search
Live responses
Cost controls
03
Automated workflows
Software that handles multi-step tasks inside the tools you already use — your CRM, ticketing, or back
office. Clear permissions and a full record of what it did, so nothing happens in the dark.
Uses your tools
Permissions
Approvals
Audit trail
04
Data & testing foundations
An AI system is only as reliable as the way you test it. We build the datasets and automated checks
that let you make changes — or swap in a new model — with confidence.
Test suites
Datasets
Review tooling
Monitoring
05
Custom model training
When off-the-shelf models aren't good enough, we train custom ones that are more accurate, cheaper to
run, and faster for your specific task — without giving up reliability.
Fine-tuning
Smaller models
Evaluation
Deployment
06
Measurement & support
Clear dashboards your team reads in the morning. We track quality, speed, and cost on every request —
with a feedback loop that's simple enough to actually use.
Dashboards
Quality checks
Feedback loop
Support
§ 02 / Method
The shape of an engagement.
Roughly twelve weeks from first conversation to handover — with a working system in your hands well before
the end.
Phase 01Week 1–2
Listen
We spend time with the people doing the work — and watch where their day slows down. No frameworks,
no workshops for their own sake. Just careful observation.
↳ Where time goes
↳ Opportunity list · ranked
↳ Readout
Phase 02Week 3–4
Frame
We turn what we learned into a short list of projects worth doing. Each one has an owner, a way to
measure whether it's working, and a point where we'd stop.
↳ Project shortlist
↳ Plan & timeline
↳ Risks & open questions
Phase 03Week 5–10
Build
A small team of senior engineers works alongside yours. We ship to production in short cycles, with
monitoring in place from the first week — not the last.
↳ Working system
↳ Test suite
↳ Runbooks
Phase 04Week 11+
Hand over
We hand the system to your team with documentation, training, and the tools to keep improving it. You
own everything we built — there's no lock-in.
↳ Documentation
↳ Team training
↳ Office hours · optional
§ 03 / Examples
What we build.
Illustrative examples of the kind of work we take on — generalized, not specific client claims.
Read → extract → sort
Insurance · intake
Reading and sorting incoming submissions
The software reads incoming documents, pulls out the important details, and drafts a first response —
all inside the team's existing tools, with a person reviewing before anything is sent.
Less manual sorting
Faster first response
Reviewed by a human
Full audit trail
Signal → likely causes
Manufacturing · diagnostics
Helping the plant floor find root causes
A system that connects sensor readings with maintenance notes and surfaces the most likely causes of
a problem — before a line goes down.
Earlier warnings
Grounded in your records
Less downtime
Conversation → cited note
Healthcare · documentation
Drafting clinical notes from the visit
Notes are drafted from the conversation, with citations back to what was actually said — built around
the shortcuts clinicians already use, not a new app to learn.
Less time on notes
Cites the source
Fits existing workflow
Draft → linked sources
Finance · underwriting
A drafting assistant for credit memos
Drafts a first version of a credit memo with linked source documents, leaving the underwriter's
judgment and voice firmly in charge.
Faster drafts
Sources linked
Underwriter in control
§ 04 / Industries
Where we focus.
We work across a handful of industries where the documents are dense, the stakes are real, and the
workflows already exist. A few of the areas we know well:
01
Insurance
Insurance
Sorting new submissions, logging claims faster, assistants for brokers, and flagging likely fraud.
submissions · claims · fraud · audit
02
Healthcare
Healthcare
Drafting notes during visits, prior authorizations, recovering denied claims, and routing patient
intake.
notes · prior auth · denials · intake
03
Industrials
Industrials
Finding root causes from mixed data, dispatching field technicians, technical search, and answers
grounded in your procedures.
root cause · dispatch · procedures · field
04
Financial services
Financial services
Underwriting memos, know-your-customer reviews, internal research, and checking outgoing
communications.
underwriting · kyc · research · review
05
Legal & compliance
Legal & compliance
Marking up contracts, mapping policies, preparing documents for litigation, and drafting responses to
regulators.
contracts · policy · litigation
06
Logistics
Logistics
Handling exceptions, carrier communications, document automation, and reading bills of lading.