Solutions · 02 · Applied AI & Automation
Production AI,shipped in weeks.
Agents, document automation, vision, and retrieval. Wired into your systems, run by the people who built them, owned by you.
A demo proves a model can do the task once. We build for every shift after that.
The terms we work to
Stated before we start, scoped to your operation
First production increment in your hands. Working software, not a prototype.
Typical payback on a first narrow build, one expensive repeated task. Illustrative, scoped before we start.
Ownership you keep. Codebase, documentation, runbooks. With us or without us.
Built to run while you sleep: retries, fallbacks, monitoring, and a plan for the bad day.
01
Software does the routine, people approve the risk
Agents that read the queue, draft the output, and act inside your systems, with the uncertain and the irreversible routed to a person by design. The division of labour is a decision, not an accident.
Routine decisions handled in software, end to end
Exceptions routed to your team with the context attached
Every action logged, traceable, and reversible where it matters
Confidence thresholds tuned on your data, not defaults
The queue moves without waiting on the one person who knows.
02
The paperwork drafts itself from your data
Invoices, quality records, compliance packs, reconciliations: assembled from the data you already capture, and landed with a person to review and sign. The re-keying stops.
Documents read at intake: extraction that survives bad scans
Drafts assembled from your systems, with the source attached
A person signs; the system remembers what changed and why
Formats your auditors and customers already accept
Your best people stop retyping between systems and start deciding.
03
Defects caught at line speed
Vision systems that inspect every unit against your tolerances, on the moving line, with borderline calls sent to your quality engineers. The standard holds across every shift and every operator.
Inspection at the pace of the line, on every unit
Scored against your tolerances, not generic thresholds
Borderline calls routed to a person to confirm
Images and decisions logged for traceability
Quality decided on the line, not caught at the dock.
04
Answers from your own data, source attached
One place to ask, grounded in your records, manuals, and history. Every answer carries its source, so your team can trust it, check it, and act on it.
Retrieval over your documents, systems, and tribal knowledge
The source attached to every answer, always
Permissions respected: people see what they are allowed to see
Wrong answers traceable to their cause, and fixable
The answer stops living in five systems and three people's heads.
05
Inside your boundary, wired to your stack
Connected to the ERP, inboxes, spreadsheets, and sensors your team already uses, and deployed where your security team wants it. Nothing bolted on, nothing parked on a laptop.
Deployed in your cloud or on your metal, your call
Connected to the systems of record, both directions
Access, audit, and data boundaries designed in from day one
No new tool for the floor to learn unless it earns its place
The system lands inside the work, not beside it.
06
We stay in to run it, and you own it
Shipping is not the finish line. We monitor for drift, control the costs, and keep the system earning as the operation changes. Handoff entirely or keep us on the run, your call either way.
Monitoring, evaluation, and drift detection in production
Cost controls and usage budgets, visible to you
Runbooks and documentation your team can actually use
Full ownership: codebase, docs, and the right to walk away
A system that still runs, and still pays, the week you stop watching.
How the engagement runs
Working software early, evidence before scope
Week 1
Scope and first increment
One narrow, expensive task. Working software against real data by the end of the week.
Weeks 2 to 4
Wire in and prove
Connected to your systems, evaluated on your decisions, reviewed by your people.
Week 5 on
Harden, run, extend
Monitoring and runbooks in place. Widen the scope with evidence, not optimism.
Built for operations where the cost hides in manual work.
Operations drowning in documents, re-keying, and reconciliations that a system should be doing.
Plants and networks where inspection, maintenance, and quality depend on the same few experienced eyes.
Teams that ran a pilot that impressed in the room and changed nothing on the floor.
Leaders who want the system owned in-house, not rented from a vendor forever.
Start with the narrow slice that pays back fastest.
Twenty minutes to look at your operation and where applied ai & automation actually earns its place.