Solutions · 03
AI agents that get the work done
An AI agent reads a request, checks your systems, decides the next step and carries it out: it answers an email, logs an order or escalates a case. We design these agents and the workflows that coordinate them, with clear rules, full traceability and human approval for the decisions that need it.
Challenges we solve
- 01
Teams that spend much of the day copying data between emails, spreadsheets and systems.
- 02
Requests that wait hours or days because someone has to read and route them first.
- 03
Rigid automations that break as soon as a document or format changes.
AI Agents & Automation
Multi-task autonomous agents
Agents that read, query sources, decide and act within the limits you define.
Multi-agent orchestration
We coordinate several specialized agents within a single process, with managed state and retries.
ERP and CRM integration
Agents read from and write to your business systems through APIs or secure connectors.
Cognitive RPA
We automate document and screen-based tasks that used to require human interpretation.
Human-in-the-loop approval
Sensitive decisions go to a person before they execute, with the context already prepared.
Monitoring and observability
We log every step, query and decision so performance can be audited and improved.
A clear process, from idea to scale
- 01
Map the process
We document the current workflow, its exceptions and the cost of each manual step.
- 02
Design the agent
We define tools, data sources, decision rules and human approval points.
- 03
Test on real cases
We evaluate the agent against a set of historical cases before it touches live operations.
- 04
Deploy and monitor
We roll it out gradually and refine it based on metrics and reviews.
- Current-state and automated process maps
- Production agents integrated with your systems
- Evaluation case set and test results
- Monitoring dashboard with a trace of every run
- Operations and escalation guide for your team
Faster response
Requests are handled as soon as they arrive, at any hour.
Teams focused on judgment
Your people spend their time on the cases that require judgment.
Traceable operations
Every agent action is logged and can be audited.
We choose the tool for the problem, not the other way around. These are some we use in this practice.
- Python
- LangChain
- LangGraph
- DeepAgents
- OpenAI
- Anthropic
- Docker
- PostgreSQL
AI Agents & Automation
What happens if the agent makes a mistake?
We define up front which decisions it can make on its own and which need approval. Every step is logged, so errors are caught, corrected and turned into new test cases.
Do I need to replace my current systems?
No. Agents work on top of your existing systems through their APIs, through connectors or, when there is no other option, through their user interface.
Which processes should we automate first?
Those with high volume, fairly clear rules and a visible cost of delay. We identify them during the initial mapping and estimate their impact.
End-to-end capabilities to take AI into production
Ready to bring artificial intelligence into your operations?
Book a 30-minute conversation with our team. We review your case, prioritize opportunities and propose a concrete first step.