01
Agent strategy
We find the workflows where an agent earns its keep, and the ones where it never will. Honest scoping before a line of code.
Applied AI agents · Est. 2021
Autonomous agents that do real work.
We are an independent studio that designs, builds and operates AI agents for businesses that need results, not demos. Systems that reason, use tools, and stay accountable in production.
01 — What we do
We build the boring, reliable machinery behind agents that ship.
Most AI projects stall between a promising prototype and something a business can actually trust. We close that gap. Our work is measured in resolved tickets, reconciled invoices, and hours returned to a team — not in model benchmarks.
02 — Services
A studio, end to end.
02
Custom agent development
Planning, tool use, memory and orchestration built to your domain — not a wrapper around a single prompt.
03
Evaluation & guardrails
Test suites, tracing and policy layers so you know when an agent is right, wrong, or should defer to a human.
03 — Approach
Discover, design, build, operate.
Every agent we ship runs the same disciplined loop: read the input, reason about it, call the right tools, take an action, then learn from the outcome. We instrument that loop end to end so it can be trusted, corrected and improved.
04 — Selected outcomes
Illustrative results.
Figures below are anonymised and representative of engagements across support, operations and finance. They describe the shape of the work we do, not a guarantee — every business is different.
62%
Support tickets auto-resolved
A tier-one support agent that reads the knowledge base, drafts replies and escalates edge cases to humans with full context.
9hrs
Saved per analyst each week
An operations agent that reconciles records across three systems and flags the exceptions a person actually needs to see.
3×
Faster first response
A retrieval-backed assistant that answers from policy documents with citations, reviewed nightly against a graded test set.
05 — The studio
Small, senior, accountable.
We founded Solhbihai in 2021 because the gap between an impressive AI demo and a dependable production system was going unaddressed. We are deliberately small: the people who scope your project are the people who build and run it.
06 — Insights
Notes from the workbench.
Reliability
Why agent evals matter more than model choice
The most reliable agents are not the ones on the biggest model. They are the ones with the best test harness.
Read ArchitectureRAG or fine-tuning? A practical rule
They solve different problems. Confusing the two is the most expensive mistake we see.
Read DesignKeeping humans in the loop, deliberately
Autonomy is a dial, not a switch. Where you set it is a design decision with real consequences.
Read
Start a project
Have a workflow that should run itself?
Tell us what you are trying to automate. We will tell you honestly whether an agent is the right tool — and what it would take.