Reference calls
Where policy allows, we connect prospects to operators who live in the product daily—not only executives on scripted calls.
Customers
Customer story — Yfa
How Autowhat AI agents run in production for this enterprise deployment.
How Autowhat AI agents run in production for this enterprise deployment.
References span manufacturing, logistics, asset and wealth management, cement, FMCG, construction, and education-adjacent programmes. Case studies emphasise operational metrics: time removed, leakage recovered, analyst hours returned—not vanity AI claims.
If your industry is not listed yet, that is not a hard no—many first deployments start adjacent to an existing vertical and expand once workflows are stable.
What this means in production
Evidence packs
Architecture summaries, security artefacts, and deployment timelines appropriate for vendor risk teams.
By product or industry
Navigate customers by product line or industry slice to find the closest analogue to your footprint.
How rollout is structured
- 01 · Map
Identify closest analogue: industry, scale band, and bottleneck similarity.
- 02 · Validate
Security and integration review in parallel with reference conversations.
- 03 · Plan
Rollout plan with acceptance criteria tied to measurable operational outcomes.
Continue exploring
Move from evaluation to deployment
Book a working session with our engineers. We map your bottlenecks to live products and tell you plainly what will work in your environment.