Every system here
is still running.
Northwind builds agents, retrieval, document AI and forecasting systems for mid-market and enterprise teams. Every number on this page comes from a client in production, not a pilot that quietly stalled.
01 · Not a highlight reel
Four clients.
Four production systems, still running.
02 · The rollup
One-offs don’t make a track record.
This does.
64
AI systems shipped to production
$41M
Measured annual savings and revenue
11 wks
Kickoff to first production deployment
82%
Start a second engagement within 12 months
More teams we’ve shipped production systems for
Meridian Trust
Alderleaf
Cobalt Mutual
Ferrovia
Northfield & Cole
Hearn Whitby
03 · Who this is built for
Regulated, operationally complex.
Sound familiar?
04 · How we help
Pick the workflow.
We’ve probably automated it before.
06
Services, one team
05 · Where this pays off
Find your function.
See what’s already working.
Operations
01
Finance
02
Customer service
03
Sales
04
Legal
05
06 · How the track record happens
Same five stages,
every single time.
None of the results above happened by skipping a step. Here is the sequence behind all of them.
i
2–5 weeks
Assess
Readiness, data audit and use-case prioritisation. Ends in a roadmap you can fund.
ii
1–2 weeks
Design
Architecture, evaluation plan and guardrails defined before a line of production code.
iii
4–12 weeks
Build
The system, integrated into the tools your team already uses, scored against the gold set every week.
iv
1–2 weeks
Deploy
Shadow mode, then production, monitored from day one rather than bolted on after an incident.
v
Ongoing
Operate
Drift monitoring, iteration and a clear handoff to your team’s ownership, or a Retainer.
07 · Not just our numbers
Renee Castellano
Meridian Trust Bank
Dr. Aaron Mbeki
Alderleaf Health Network
Lindsay Oduya
Cobalt Mutual Insurance
Tom Baptiste
Ferrovia Logistics
Whitney Sarr
Orinda Freight Co.
“
We didn’t want a black box making credit decisions, and Northwind didn’t build us one. The agent does the tedious cross-checking and tells us exactly why it flagged what it flagged. Our underwriters trust it because they can see its work.
Renee Castellano
VP of Loan Operations · Meridian Trust Bank
−63% review time
08 · How to start
Four entry points.
Most clients start at Assessment or Pilot.
Assessment
Know what to build
Teams with an AI budget and no shared way to prioritise between use cases.
From
$18k
2–5 weeks
Data & infrastructure audit
Use-case matrix: effort, risk, payback
Build-vs-buy per use case
12-month roadmap with budget bands
Pilot
Most popular
Prove it works
Teams with a specific use case who need to prove it before a full build.
From
$65k
6–10 weeks
One system, scoped to ship fast
Evaluation harness before launch
Guardrails and human checkpoints
A clear go / no-go on scaling
Scale
Run it for real
Teams taking a proven use case to full production volume.
From
$180k
3–6 months
Full engineering team
Monitoring and alerting from day one
Integration with systems of record
Runbooks and an agreed handoff
Retainer
Keep it accurate
Teams who want us to keep operating a system after launch.
From
$12k
per month
Drift detection and monitoring
Scheduled eval and retraining
Incident SLA
Quarterly roadmap review
09 · For the risk team reading over your shoulder
The track record only counts
if it’s also governed.
Your environment
Data stays in your cloud or a dedicated tenant. Never pooled across clients.
Human review
A person signs off on every agent and document step above a defined risk threshold.
Access logging
Model and data access logged, with a quarterly access review in every engagement.
Responsible-AI review
Bias, failure-mode and escalation review built into the plan, not added at the end.
10 · From the team behind the numbers
What’s actually
working right now.
11 · Before you book
The questions
the proof doesn’t answer.
Still unsure where your use case sits? A 30-minute readiness call usually settles it.
General
Fees & contracts
Data & security
01
How is Northwind different from hiring an in-house AI team?
You get a team that has already shipped 64 systems and knows where the gap between demo and production is, without the 6–12 months it takes to hire and ramp an internal team.
02
Do you build custom models or use off-the-shelf ones?
03
We tried an AI pilot that went nowhere. What is different?
04
What happens after the system goes live?
12 · Start
Your system could be
on this page next.
A 30-minute call. No deck: a straight answer on what it would take to get your use case into production.