AI Agent Development
Custom AI agents that do real work (code review, customer response, ops automation) built by a team that operates its own agent in production. We'll tell you when you need an agent, and when a simpler workflow will do.
Companies we've collaborated with
Built by a team that operates its own agent in production
Most agencies selling AI agents have never operated one. Our answer to that question is CodeRaven, an AI code-review agent we built and have run in production since February 2026: 1,164 pull requests reviewed and 14,552 findings posted in its first 148 days. Operating an agent commercially teaches you things a demo never will: where they fail, what monitoring they need, and what they actually cost to run.
What We Offer
Agentic Workflow Automation
Repetitive, rule-bordered work (lead routing, support triage, report assembly, follow-ups) is where agents usually earn their keep first. We wire them into the tools you already run rather than asking you to migrate, and they run quietly in the background with humans in the loop where errors are expensive.
Customer-Facing Assistants & Chatbots
Assistants built on your actual content and policies, with explicit escalation paths to humans. We'd rather ship an assistant that says "let me get a person" than one that improvises your refund policy.
Back-Office & Ops Agents
Decision-support assistants and backend agents managing API calls, data flows, and reporting, the unglamorous work where reliability matters more than personality, and where the payback tends to show up fastest.
AI Readiness Assessment
A fixed-scope first step that tells you honestly whether your process needs an agent or a plain workflow, and gives you a firm timeline before you commit to a build.
Production Hardening
Evaluation suites, guardrails, and monitoring: the second phase that turns a working pilot into a system you can actually rely on.
Vendor Takeover & AI Rescue
Taking over stalled AI builds is a regular part of the practice, including AI-generated codebases that need security and reliability work before they can ship.
Why Choose SLIDEFACTORY as Your AI Agent Development Company
We’ve been shipping software from Portland since 2018 (web, mobile, VR, and now AI systems) for startups, healthcare companies, and national brands. The assessment-pilot-production ladder exists so you can find out what an agent is worth to your business at the lowest possible cost of being wrong.
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Frequently Asked Questions
What's the difference between an AI agent and workflow automation?
A workflow follows steps you defined in advance; an agent uses a language model to decide what to do next, calling tools, checking results, adjusting course. We build both, and the assessment tells you honestly which one your process actually needs. Deterministic processes are almost always better served by a plain workflow.
How long does it take to build an AI agent?
Most pilots are measured in weeks, not months, the fixed-scope assessment gives you a firm timeline before you commit to anything. Production hardening (evaluation suites, guardrails, monitoring) is typically a second phase of comparable length.
How much does an AI agent cost to run?
Less than most people expect. CodeRaven’s total model spend for five months of production code review (2,812 review runs) was $161.20. Model costs are usually the smallest line item; the real budget goes to engineering, evaluation, and integration, which is why the build is scoped carefully.
Do AI agents replace employees?
In our experience operating one: no. Agents absorb the repetitive middle of a job (the triage, the first pass, the data movement) and the judgment stays human. CodeRaven reviews every pull request, but humans still decide what merges.
Can you take over an agent or AI build another vendor started?
Yes. Vendor takeovers and rescues of stalled AI builds are a regular part of the practice, including AI-generated codebases that need security and reliability work before they can ship. See our AI code rescue service for how those engagements are scoped.
