Saabsa · Austin HQ, US delivery
Production AI agents for business workflows
An agent that chats is a demo. An agent that takes a bounded action inside a workflow—and stops when it should—is the system Saabsa builds. Custom agents, integrations, and deployment, with evaluation before anyone calls it production.
Agentic AI fails when the tools are wider than the job
Buyers searching for AI agent development services, enterprise AI agents, or agentic AI consulting have usually seen a framework diagram. The production questions are duller: which tools exist, which arguments are allowed, what requires approval, how a bad tool call is detected, and what the agent costs on a busy day.
We build for that. Multi-agent designs are used when the work actually splits across roles. They are not the default. Most workflows need one agent, a short tool list, and a human on the steps that spend money or write back to a system of record.
One workflow
Scheduling, intake, claims exceptions, document actions, or an internal ops queue. Not “an agent platform.”
Narrow tools
Each tool has a schema, an owner, and a permission. Write tools get an approval point.
Task evaluation
A set of real tasks, including the ones the agent must refuse or escalate.
Deployment
Traces, spend, and a way to turn the agent off without a redeploy mystery.
Where agents meet the rest of the stack
Agents that answer from company knowledge need RAG with access control, not a folder of PDFs. Agents that touch regulated clinic work belong under healthcare AI, with Patientree as the product playbook rather than a one-off bot. Agents that are not ready for tools yet should stay in the readiness sprint until the workflow is real.
AI workflow automation here means the agent is attached to work that already happens. If a deterministic integration does the job, we will build that and leave the model out.
Questions buyers ask
Before you book the sprint
Do you build multi-agent systems?
When the workflow has distinct roles and handoffs. We will not split one task across agents to make a diagram look current.
Can the agent update our system of record?
Only through an approved tool, with a person on the irreversible steps until evaluation says otherwise.
What is the first engagement?
The two-week AI Production Sprint: which agent is worth shipping, which tools it may call, and a go/no-go.
Do you offer agent consulting without a build?
The sprint is the consulting. It produces artifacts you keep. A slide-only agent strategy is not a separate SKU.
Related
The rest of the implementation map
AI implementation
Part of the same prototype-to-production path.
Prototype to production
Part of the same prototype-to-production path.
Enterprise deployment
Part of the same prototype-to-production path.
Production readiness
Part of the same prototype-to-production path.
RAG development
Part of the same prototype-to-production path.
Enterprise generative AI
Part of the same prototype-to-production path.
Evaluation
Part of the same prototype-to-production path.
Security and governance
Part of the same prototype-to-production path.
Healthcare AI
Part of the same prototype-to-production path.
AI Production Sprint
Part of the same prototype-to-production path.
Bring the prototype, not a wishlist.
The AI Production Sprint is two weeks and fixed fee. You leave with a go/no-go, architecture and security notes, and a next-step quote you can decline.