Workflow design
Define the steps, tools, models and decision points, including when the agent should ask a person for help.
Build · Agentic Engineering
Agent systems your business can depend on.
Agentic engineering turns AI models into systems that carry out work across your data and tools. We design the workflow, connect the systems, test what happens when something fails and give people control over what the agent can do.
When to bring us in
Decisions and challenges we help with.
- You have a promising prototype that needs to work with real customers.
- A workflow crosses your CRM, support desk, documents and other systems.
- An automation needs manual attention whenever its inputs change.
- You need to understand and control the cost of each run.
- People need to review, approve or stop actions the system proposes.
- Your engineering team wants a working example it can build on.
Scope
What we do.
Data and system integrations
Connect agents to CRMs, support systems, documents, spreadsheets, databases and internal APIs, with appropriate access controls.
Context and memory
Give agents the information they need from company records and previous work, while limiting what they can access and retain.
Failure handling and recovery
Design for interrupted jobs, unexpected inputs and unreliable tools. Check completed actions and prevent avoidable duplicate work.
Monitoring and cost control
Make runs inspectable, track usage and errors, and set spending limits so your team can understand and manage the system.
Approvals and human control
Add review points for consequential actions, audit records and practical ways to pause or stop the work.
Process
How we work together.
- 01
Map the workflow
Understand how the work happens today, where an agent can help, and which decisions must stay with people.
- 02
Build a working path
Connect a focused workflow through the systems it needs. Test it on representative data before expanding its scope.
- 03
Test and strengthen
Exercise failure cases, access limits, recovery and approvals. Check the output against agreed acceptance criteria.
- 04
Hand over and operate
Your team gets the code, documentation and access it needs to run the system. Ongoing support can be included in the engagement.
Experience
What we bring to the work.
Production experience
Our work includes a platform that routes jobs across multiple model providers. Its engineering covers access, cost, recovery and human review.
Models chosen for the task
We compare models against the actual work and design the system so a model can be swapped when quality, cost or requirements shift.
Engineers direct, agents build
AI coding agents write much of the software we ship. Engineers set the design, review changes and take responsibility for the result. We can help your team work this way too.
FAQ
Common questions.
- What is agentic engineering?
- It is the design and development of AI agents that carry out tasks using business data and tools, with defined permissions, recovery, monitoring and human oversight.
- Which models and platforms do you use?
- We choose according to the task, testing quality, cost, privacy and response time. That can include models from major providers or models run locally.
- How do you limit what an agent can do?
- We define its permitted tools and data, add approvals where needed, set spending limits and keep records of its actions. Important controls are enforced in software, rather than relying on prompts alone.
- How long does a first working agent take?
- We estimate the schedule after reviewing the workflow and systems involved. A focused first version lets us test the difficult parts before committing to a wider rollout.
- Can this work with our existing engineering team?
- Yes. We can design alongside your team, build a first workflow, or help improve an existing system. Code and documentation are handed over as part of the work.
- What does an agent system cost to run?
- Model choice, usage, integrations and hosting all affect the cost. We estimate those costs during design, then measure actual usage and apply agreed spending limits.
Related
Explore other ways we can help.
- AI Advisory →
Decide whether an agent is the right approach.
- AI-Assisted Product Development →
Build the application around the workflow.
- Work →
See examples of systems we have built.
Start with a conversation.
Tell us what you’re working on and where you need help.