Code in your repository
Every engagement ends with a working system your team can read, run and change. No hosted black box.
Custom AI agent development
Service
Production-grade agents in your repo, your cloud, your runbook.
Custom AI agents designed, built and shipped in your repository and cloud, with the eval suite, telemetry, model routing and runbook included from day one.
What it is
Custom AI agent development at Agnotiq is a senior engineering engagement that ends with a production agent running in your repository and your cloud. The eval suite, telemetry, model routing and runbook are built alongside the agent, not after it, so your team can own, extend and retire it without us.
Most agent projects fail in the same place: between the demo and the rollout. A prototype that works on ten examples meets ten thousand real cases, and nobody wrote down what "working" means. We started Agnotiq to take that handoff seriously. We build, we evaluate, and we stay on call for the quarter the system goes live.
Whoever pitches you is the person in your standup on Monday. We work in your repo alongside your engineers, bring the agent patterns, the eval rigor and the platform plumbing, and document the handoff from the first commit.
What you get
Included in every engagement.
Eval CI
The eval suite runs on every pull request and every model swap. A regression fails the build before it reaches a customer.
Model routing
A small piece of plumbing that decides which model gets which call, so cost and quality are tuned per workload.
Telemetry and a runbook
A trace schema, the dashboards worth keeping, the alerts worth having, and a runbook for the next person.
How it works
From discovery to production.
Discover
Two weeks with your team, watching the work and picking the loops where an agent earns its keep.
Prototype
A working agent in your sandbox by week three, with its failure modes visible from day one.
Evaluate
Hundreds of cases scored by your experts, run on every change. The eval is the gate, not a vibe check.
Deploy and operate
Kill-switches, canaries and observability, then ninety days of tuning, swapping and retiring.
The full five-phase rhythm is on the process page.
A good fit when...
- Engineering-led teams that want to own the agent, not rent it.
- Workloads with enough volume and risk to justify an eval suite and a rollout plan.
- Companies with a security review to pass: we work in your cloud, on your SSO, under your DPA.
Agents already doing this work.
Support ops
Customer Support Automation
98%Routed to the right team
2×Faster time to resolution
4.8/5Customer satisfaction
View case study
Refund operations
Lumtry
92%Routine cases auto-handled
1-tapApprovals from dashboard or Slack
FullAudit trail on every decision
View case study
Inbox automation
Smart Email Assistant
< 5 minAverage customer reply time
100%Emails sorted & actioned
24/7Coverage, including off-hours
View case study
Questions we hear first.
Yes, most engagements run alongside an internal team. We bring the agent patterns, the eval rigor and the platform plumbing; your team brings the domain depth. The handoff is documented from day one.
A four-week Sprint is a fixed $22k for one workflow end to end. The Build retainer is $18k per month with a three-month minimum for up to three agents in production. Operate is a custom, embedded engagement. Full details are on the pricing page.
Yours. We are cloud-agnostic and model-agnostic by design, and we build in the language and infrastructure your team already maintains wherever that is practical.
Then we don't ship it. The eval suite is the gate. About one in five prototypes gets retired, and you get the eval suite and the findings either way.
More answers on the FAQ page.
More ways we put agents to work.
Task automationMulti-step AI agents that take over long, repetitive tasks.Agentic workflowsAgentic workflows that move work across the tools you already use.Real-time intelligenceAgents that read wikis, tickets, contracts, PDFs and live market data and return answers with citations and graded evidence your auditors can sign off on..AI strategy consultingOperator-led AI strategy.For operations leadersFor operations leaders, Agnotiq deploys AI agents that take over recurring coordination work across the systems the business already runs: routing, follow-up, approvals, status updates and reporting.For customer teamsFor customer support and success teams, Agnotiq builds agents that capture complete details at intake, classify and route every request by your rules, draft replies matched to the conversation, and escalate exceptions to a person.
Let's build
Have a workflow that deserves an agent?
Tell us what's eating your team's afternoons. We'll come back inside three days with a discovery plan, a price, and the names of the engineers we'd put on it.