Service
AI agent development
Agents for teams that need more than a chat box. iftodo designs the workflow, connects the tools, builds the control loop, and leaves you with software that can be inspected.
The work usually starts with one living process: triage, research, document review, exception handling, internal support, or tool-backed decision support. The result is an agent your team can use, observe, improve, and pause when the work demands it.
Where this fits
- A workflow has enough repetition to automate, but enough judgement that scripts alone do not hold.
- The agent must work inside existing tools, permissions, and review habits.
- You want direct technical ownership from scoping through delivery, not a handoff chain.
What gets delivered
- 01
A written scope with target workflow, non-goals, autonomy boundaries, and acceptance criteria.
- 02
A working agent implementation with tool calls, prompts, state handling, evaluation fixtures, and human review points.
- 03
Deployment notes, operating runbook, handover session, and a private proposal for follow-up support where useful.
What I need from you
- A concrete workflow and the decisions a good operator makes today.
- Example cases, edge cases, and access to test or sandbox systems where possible.
- A named owner who can review behaviour and decide what the agent may do automatically.
How the work runs
- 01
Map the workflow as decisions, tools, data, and failure modes before model work starts.
- 02
Build the smallest useful loop, then add retrieval, tools, permissions, and review controls only where they prove value.
- 03
Evaluate with real examples, adversarial cases, and operator review before widening autonomy.
Acceptance and evaluation
- The agent completes the agreed test cases with traceable reasoning and tool records.
- Known failure modes route to a human with enough context to continue the work.
- Logs and handover material let your team inspect what happened after delivery.
Evidence and work
Common questions
- Do you build on our existing stack?
- Yes. The default is to work with your current tools, data boundaries, and review process. New infrastructure is added only when the workflow needs it.
- Can the agent take actions automatically?
- Yes, where the workflow supports it. A low-risk lookup can run on its own, while a customer reply or system change can stay as a draft until a person approves it.
- What do we have at the end?
- A working agent, the workflow around it, evaluation cases, operating notes, and a handover session so your team knows how it behaves and where to take it next.