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Production AI Systems Engineering

Most enterprise AI stalls in the lab and never earns a dollar. We get it into daily operation and keep it there, on the systems you already run.

25 yrsEngineering production software
15 yrsBuilding production data platforms
10 yrsDeploying AI/ML in production
1,000+Production systems since 2001

The problem we own

Most enterprise AI never makes it past the demo.

Why they fail: they were built to win the demo. Then real data, real systems and real users showed up, and they broke. Or nobody trusted them enough to depend on them.

The model what the demo shows
20%
Where the demo ends
The engineering around it where pilots live or die
80%

A working model is a fifth of what production AI takes. The rest sits below the demo line, invisible until something breaks at 3am.

Integration
with the systems you already run
Data quality
ready for AI workloads
Governance
designed in from day one
Observability
monitored from day one

That 80% is exactly what we engineer.

The assess phase

Production AI is a 10-dimension system. We score all ten before a single line ships.

You get a Production Readiness Score, an engineering roadmap, and a go or no-go in two to three weeks. The engineers who score you are the ones who'd do the build.

Hover a dimension for its scope

Observability from day one

Production, under continuous watch

Every Tecknoworks deployment ships with monitoring from day one, with drift detection, SLA tracking and governance checks running continuously. This is what an ordinary day looks like inside a production AI system we operate.

Operations log · live All systems nominal
06:00Drift checkNightly model-drift scan complete — all metrics within tolerance.
08:12SLAP95 latency 340 ms against a 500 ms SLA. 99.98% uptime this quarter.
10:47GovernanceWeekly compliance report generated and delivered to the audit trail.
13:05Data qualityFreshness gates passed on all 14 inbound pipelines.
15:30OptimizationPrompt revision v2.14 promoted after staged rollout — accuracy +2.1%.
17:52IncidentVendor API degradation absorbed by failover — zero user impact.

How we work

We prove it works before you commit the big budget.

A working result in weeks. Each step earns the next.

01

Assess

We score how ready your data and systems really are, and where the risk is hiding.

02

Prove

A working version running on your real data, so you see the value before the big spend.

03

Deploy

Into production: integrated, governed, monitored, and operated.

04

Operate & scale

We run it, keep improving it, and grow it across the business with you.

If the assessment shows your data can't carry it yet, we say so, and you'll have spent very little to find out.

Why Tecknoworks

We build your AI, run it, and answer for it.

25 yrs Production software
15 yrs Production data
10 yrs Production AI
01 · Build & operate

We build and operate, not just advise

We design it, ship it, and stay to run it under production SLAs with 24/7 monitoring. The team that builds your AI is the team that keeps it running.

02 · No lock-in

No lock-in, no black box

We engineer on the platforms you already own, whether that's Azure, AWS or on-premise, and pick the tools that fit your estate. You keep control of everything we build.

03 · Proof

Working systems in weeks

Boards want results this quarter. We put a working system on your real data within weeks, and a measurable result soon after.

A track record at the top

For over twenty years we've engineered and operated production systems for one of the world's leading strategy consultancies. The firm that transforms everyone else trusted us to build and run theirs.

Drive growthNew products, faster decisions and better customer experiences.
Reduce riskTrusted data, explainable AI and production-grade controls.
Lower costAutomated workflows, modern platforms and less manual effort.