Deliverables
- Agent workflow running in production
- Evaluation test set built from real cases
- Monitoring and alerting setup
- Source code and operations documentation
SERVICES / AI / Agent workflows & automation
Agent workflows & automation
AI agents take over repetitive, multi-step back-office work: they read incoming material, decide the next step and act in your systems. We build on the Anthropic Claude and OpenAI ChatGPT APIs and pick the right model and effort level for every step.
agents – zsh
$ scaffold automate --agents✓ mapped steps, tools & handoffs✓ wired tool use with guardrails✓ evaluated runs on real cases→ workflow live, human approval on$
What you get
- The process broken into steps: what the agent does and where a person decides
- Tool use: the agent reads from and writes to your systems safely
- The right model and effort level for each step, balancing quality and cost
- Guardrails: permission limits, approval checkpoints and content checks
- Evaluation on real cases, logging and alerts when a run gets stuck
How it works
Map the process
We walk through the process with the people who do it today and record the steps, exceptions and decision points.
Build & evaluate
We build and evaluate the agent in a staging environment on real past cases until the results are reliable.
Go live with oversight
In production it first runs with human approval, then gradually gets more autonomy where it has proven itself.
Good fit when
Your staff repeat the same steps across several systems every day.
Sorting and routing incoming requests, orders or tickets takes a lot of manual work.
You have tried an AI agent before, but it was not reliable enough in practice.
FAQ
What happens if the agent makes a mistake?
Risky steps have an approval checkpoint, so a person decides before anything irreversible happens. Every run is logged, and failed cases are added to the evaluation set so the fix sticks.
Which model do you use?
We choose per step. Simple classification needs a fast, cost-efficient model, while complex decisions get a stronger model and a higher effort setting from the Anthropic Claude or OpenAI ChatGPT line-up.
Can it connect to our existing systems?
Yes. The agent reaches your systems through APIs, databases or webhooks, with only the permissions it needs. If a system has no API, we clarify the integration options during discovery.
Related services
All services in AI & automationAI adoption & strategy
Assessment, use cases and a rollout plan for Anthropic Claude and OpenAI ChatGPT, with data protection rules and team training.
AI assistants & document processing
Assistants that answer from your own knowledge base, customer support chat and document processing: data extraction from invoices, contracts and forms.
Code review & quality audit
A review of your codebase: architecture, security, performance, dependencies and tests, in a report ranked by severity with suggested fixes.
Technical documentation
Architecture overviews, API references, runbooks and developer onboarding for existing codebases, versioned alongside the code.
Test automation & QA
Unit, integration and end-to-end tests, accessibility checks and quality gates in your CI pipeline, for new or existing software.
Where could AI help your business?
Ask for a short assessment and we will show you where to start.