FDE · One team that ships AI into production
Your first real AI use case,
live in production in weeks
We put engineers inside your workflow and own the use case end to end: the model, the integration, and on-call. You report a live result to the board this quarter, not a roadmap.
- 15+ years shipping for enterprises
- 300+ brands
- Deployed in 9 languages
We build on these platforms and tools
How we deliver
One team,
from strategy to production
01 · STRATEGY
Use cases get scored, ranked, and actually shipped
Strategy advisors, ML engineers and platform ops work to one cadence, with no handoff between vendors. The people who scope your use case are the people who put it in production.
Use case promoted
Loan-review assistant now running in production
Week 10
Pilot launched
Defect QA live on lines at 2 plants
Week 5
Model evaluated
Triage copilot passed clinical acceptance testing
Week 7
Regional rollout
3 new local languages across Europe and APAC
Week 14
- Use-case scoring and prioritization
- Effort estimates and ROI definition
- 10–12 week delivery roadmap
02 · ENGINEERING
You get a running system, not a notebook
Model cards, eval suites and on-call rotations ship with the system. You can read how every answer was reached and who is awake when it breaks at 2am.
system:loan-review-assist-v3
Sample · Document intelligence
-96%
Cycle time
98.4%
Recall
Stable
Drift status
- Documented model cards
- Eval suites and benchmarks
- Drift monitoring
03 · SCOPE
Every workflow ships with a live delivery brief
Inputs, guardrails and goals are written down in week one. Your stakeholders can check scope and progress any day they want, without waiting on a quarterly report.
Healthcare / Triage
Sample · Healthcare triage
- Inputs: chart summaries, intake forms, voice memos
- Guardrails: physician in the loop, full audit trail
- Goal: triage time from 18 minutes to 4
- Clear inputs and guardrails
- Human-in-the-loop by design
- Measurable goals
04 · DEPLOYMENT
PoC, pilot, production, then scale
Each phase has acceptance criteria and a date attached. You are in production by weeks 8–12, with regional and language expansion from week 13.
Weeks 1–3
PoC
Pick the use case and scope the data
Weeks 4–7
Pilot
Build, evaluate, integrate and validate
Weeks 8–12
Production
Promote, monitor, stand up on-call
Week 13+
Scale
Expand to new regions and languages
- Phased acceptance criteria
- Monitoring and on-call
- Regional and language expansion
Live in weeks,
not stuck in pilot.
One team scores your use cases, ranks them, and takes the first one all the way to production. No vendor handoff in the middle.
12 weeks
Average time to MVP
15+ years
Shipping digital products
600+
Projects across industries
"We'd worked with consultancies that only advised, and vendors that built and walked away. Tenten owned the model, the integration, and on-call, and shipped our first use case to production in twelve weeks."
CAPABILITIES
Four AI capabilities we put in production,
delivered by one team
01
AI Copilot rollout
An assistant your people actually open at work, wired into your internal knowledge and tools, with answers you can audit.
02
Agentic workflows
Cut cross-functional review cycles from days to minutes, with a live delivery brief on every workflow.
03
RAG knowledge systems
Retrieval across your documents and data where every answer cites its source, so your teams can check it before they act on it.
04
Prediction & decision models
Forecasts your ops team will trust, from demand planning to quality inspection, on the line in weeks.
What success looks like (representative scenarios)
See success stories
Outcomes
What changes once it's live.
Representative outcomes from typical engagements, not guaranteed results. Your numbers depend on the use case and your data.
Time to first AI use case in production (weeks)
Traditional consulting
32 wks
Build it in-house
24 wks
Tenten AI delivery
12 wks
40%
Average cost reduction on target processes
10x
Faster decisions with AI-assisted analysis
24/7
Human-in-the-loop automated operations
<12w
From kickoff to first production use case
90-minute workshop
One session, from zero to a shippable use case
Bring a real process. We'll find candidate use cases, ballpark the effort, and map a 10–12 week delivery roadmap, with strategy and engineering leads both in the room.
What CIOs and ops teams say
AI in production within weeks, and a team still on-call long after.
「Tenten was the only vendor who brought engineers to the discovery session, not just a deck. Twelve weeks later, our pilot was running in production.」
Group CTO
Listed semiconductor group
「Their MLOps is the real difference. Model cards, eval suites, on-call rotations all came complete. Nobody dropped a notebook on us at the end and called it done.」
Head of Data Platform
Industrial IoT equipment maker
「Edge visual QA was live across two plants in twelve weeks, rolled out plant by plant from one control console. We have no in-house ML team, and we didn't have to build one first to get there.」
VP of Operations
Listed precision manufacturer
「Three quarters in, the roadmap we'd been told would take a year was already live. The pace held because the team that planned it was the team that built it.」
Chief Transformation Officer
Omnichannel retail group
「Clinician oversight sat at the center of the system design from day one. That is the reason our compliance team could approve triage in 90 days.」
Chief Medical Information Officer
Hospital network
「What sold us was that the same people who scoped the work built and shipped it. No handoff to a team we'd never met.」
Director of AI Strategy
Listed electronics manufacturer
Industry insights
The latest on enterprise AI.
AI workflows,
built into your operations
We deploy forward — FDE and FDM — to build the AI agents and workflows your team runs on. Live in weeks, not quarters.