Most AI projects die between the demo and production. We get yours across that line, with the governance, security, and integration work that keeps it running after launch.
Book an AI readiness session
NIST AI RMF
ISO 42001
SOC 2
01
What we build
Fewer than a quarter of AI pilots reach production. We build the handful of use cases worth funding, inside a Zero-Trust model, and keep them running after launch.
We connect AI to the systems you already run, with clean data pipelines and sensible guardrails.
integration
data pipelines
guardrails
We help you pick the few use cases worth funding and avoid the expensive dead ends.
use-case selection
copilots
RPA
We deploy inside Zero-Trust and align governance to NIST AI RMF, ISO 42001, and the EU AI Act.
NIST AI RMF
ISO 42001
Zero-Trust
We monitor quality, control cost, and retrain when data drifts, with someone accountable each month.
monitoring
cost control
retraining
first
AI integration
We connect AI to the systems you already run, with clean data pipelines and sensible guardrails.
then
Generative AI consulting
We help you pick the handful of use cases worth funding and avoid the expensive dead ends.
Throughout
Governance and security
We deploy inside a Zero-Trust model and align governance to NIST AI RMF, ISO 42001, and the EU AI Act.
02
Scaling AI
The hard part of enterprise AI is not the model. It is everything around it: connecting to your real data, meeting your security and compliance rules, and earning enough trust that people actually use it. Fewer than a quarter of AI proofs of concept reach production, and that gap is where we work. We take promising pilots and the messy reality of your systems and turn them into AI that runs in production, with a human in the loop where it counts.
Book an AI readiness session
03
AI Operations
AI is not a project you finish. Models drift, data changes, and usage grows. We run your AI in production: monitoring quality, retraining when needed, controlling cost, and reporting on what it is producing. You get a system that keeps working, with someone accountable for it every month.
It keeps working
Models drift and data changes, so we monitor quality and retrain when needed.
Someone accountable
You get a system that keeps working, with someone accountable for it every month.
AI is not a project you finish.
FRAMEWORK CONTROLS
ON SHIP
NIST AI RMF
AI risk management framework
ISO 42001
AI management system standard
SOC 2
Trust services criteria
04
How we deliver
One team owns the AI work from use case to production, so pilots do not stall in the gap between advice and delivery.
01
Use-case thesis
We start with the use case thesis: the outcome the AI has to produce.
02
Design & govern
We design the integration and the Zero-Trust governance model together.
03
Build
We build on your data and platforms, monitored from the first deploy.
04
Enable
We train your team to run and trust the system, not just watch it.
05
Operate
We stay on to operate it, control cost, and retrain as your data drifts.
One team, end to end.
Strategy, build, and support under a single owner.
Book an AI readiness session
05
INDUSTRIES
Enterprise
Modernization and security at scale.
Healthcare
HIPAA-bound, patient-data-first systems.
Financial
Auditable, resilient, compliant platforms.
Government & Defense
Mission-ready, CMMC-compliant systems for agencies and contractors.
06
FAQ
Questions buyers ask before a build
ON CALL
Have a different question?
We’re always on call to help you and provide the answer.
Book an AI readiness session
Build it once, build it to pass audits.
Tell us what you are building, what you are modernizing, or what you inherited. We will scope the work and the security model in the same conversation.
Book an AI readiness session
Share the basics and a specialist will reach out shortly.
