
AI that ships into the product, not the pilot graveyard.
We design, build, and harden models, agents, and AI features your team actually keeps open after launch day. Delivery first. Demo theater last.
Partners who put AI into production with Auviel. See what they say
Where AI projects stall
Models are easy to demo. Turning them into reliable product behavior is where most teams lose months.
Pilots that never leave the sandbox
Proof-of-concepts impress in a slide, then die when they meet real data, edge cases, and the people who have to trust the output every day.
Features without a product home
Chat widgets and bolt-on agents float next to the workflow instead of inside it. Staff go back to the old path because the AI path is slower or unclear.
No path from model to ops
Prompts, evals, monitoring, and handoff live in notebooks and Slack threads. When something breaks in production, nobody owns the fix.
Results from AI we put in production.
Satisfaction
0%
Client satisfaction across Auviel engagements.
Shipped
0+
Projects delivered from concept to production.
Ops lift
0x
Throughput improvement for Book Reliable logistics ops.
Reach
0k
Monthly visitors on Rareplus, a storefront we engineered.
What we build
Product engineering with ML in the loop. We ship the feature, the guardrails, and the ops story so it survives growth.
AI features inside the workflow
Assistants, scoring, routing, and generation wired into the screens and systems staff already use, with clear human override when it matters.
Data and evals that hold up
Grounding, retrieval, and evaluation loops tuned to your domain so quality is measurable, not vibes from a Friday demo.
Agents and automation that last
Multi-step agents, outreach, and ops automation with logging, fallbacks, and ownership so the system improves instead of drifting.
How we approach AI delivery
A tight path from friction to a feature you can own.
Diagnose the real bottleneck
We map where the day breaks: handoffs, decisions, follow-ups. Then we pick the smallest AI surface that moves a number.
Embed in the product
The model lives inside the workflow and UI, not beside it. Staff see why it acted, and can override when needed.
Evals, guardrails, and ops
Grounding, evaluation loops, logging, and ownership so quality is measurable and failures have a clear next step.
Ship and keep improving
Launch with monitoring and a handoff plan. Then iterate on the same production path, not a second pilot.
Where this lands
Concrete surfaces we build across industries.
Sales outreach and follow-up
Agents that draft, sequence, and chase leads inside a CRM. Same pattern we run in Flowforce.
Flowforce caseClinic and ops assistants
Intake, scheduling, and follow-up tools that shrink busywork so staff stay with patients and exceptions.
Healthcare solutionsRouting, scoring, and triage
Rank, route, and summarize work so the right person sees the right item first, with an audit trail.
Knowledge and retrieval
Grounded answers over your docs and systems, with citations and evals so hallucinations do not ship as truth.
Product
Everyone is talking AI. Flowforce makes it yours.
Our AI CRM automates outreach and follow-up for modern sales teams. Proof we do not just advise on AI. We ship it.

Auviel transformed our logistics operations. Throughput improved 10x. Today we scale at a speed we once only dreamed of.
Nigora Soipova
Book Reliable

Proof in production
AI product work we have already shipped.


Flowforce
AI CRM for modern sales teams, outreach and follow-up automation we run ourselves, not just advise on.
View case

Balija Eye Care
AI tools and clinic systems that made day-to-day work easier so the team can focus more on patients.
View case

Book Reliable
Logistics ops improvement of 10x throughput, intelligent systems wired into how the yard actually runs.
View case
Related capabilities and industries
Commercial services
Industries

