Automatic customer onboarding
The agent reads the new customer's email, provisions accounts, configures permissions, sends documents and updates the CRM.
01 / AUTONOMOUS-AGENTS
Artificial Intelligence
Autonomous AgentsArtificial Intelligence — Software that reasons, decides and acts on your systems.
Software that reasons, decides and acts on your systems.
Autonomous agents go beyond conversation: they plan sequences of actions, call APIs, read and write to corporate systems, handle exceptions. They turn manual procedures into intelligent workflows that operate 24/7.
+90%
Task completion rate
24/7
Continuous operation
−75%
Time per process
§ A
Overview
An agent isn't a fancier chatbot — it's a software system that receives a goal, breaks it into steps, picks the right tools and runs them. When a step fails, it retries or asks for human help.
We build agents on production-grade frameworks (LangGraph, AutoGen, CrewAI, OpenAI Assistants) with full observability, cost controls, operational limits and human-approval gates for critical actions.
§ B
What's included
- Process candidate mapping with ROI analysis
- Definition of the available tool set (internal APIs, RPA, databases, browser)
- Single-agent or multi-agent architecture with specialised roles
- Short- and long-term memory, state persistence
- Human-in-the-loop for high-risk decisions
- Tracing, replay, A/B testing of policies
- Cost controls and rate limiting to avoid runaway spend
§ C
Deliverables
What you get at the end — or along the way — of an engagement on Autonomous Agents.
- D/01Tool catalog and interaction schema
- D/02Versioned agent code with deterministic tests
- D/03Operator supervision console
- D/04SLAs and escalation playbook
- D/05Execution reports and audit trail
§ D
Use cases
Ticket triage & resolution
Classifies incoming tickets, runs first-level diagnostics and autonomously resolves standard cases.
Intelligent procurement
Receives the purchase request, finds suppliers, compares quotes and prepares the order for approval.
Financial reports
Extracts data from ERP, BI and external sources, generates the narrative commentary and publishes it to Teams or email.
§ E
Our process
01
Process mining
Analysis of the as-is process, mapping of exceptions, expected ROI.
02
Tool design
Definition of API contracts, input/output schemas, error handling.
03
Agent build
Iterative implementation with evaluation on golden scenarios.
04
Shadow mode
The agent observes and proposes actions that are validated by a human before being executed for real.
05
Gradual autonomy
Progressive increase of automation level based on measured quality.
§ F
Technologies
LangGraph · AutoGen · CrewAIOpenAI Assistants v2Temporal · InngestBrowser-use · PlaywrightRedis · PostgreSQLOpenTelemetry · LangSmith
Indicative stack. We adapt choices to your context, internal skills and existing constraints.
§ G
Frequently asked questions
Q/01What if the agent makes a wrong decision?+
We define granular policies: reversible actions run autonomously, critical actions always require human confirmation. Every step is logged and replayable.
Q/02How reliable is it?+
We measure task success rate on real scenarios. Production agents exceed 90% on well-defined processes, with automatic escalation on the rest.
Q/03How invasive is it for existing systems?+
Zero changes to systems: the agent uses APIs that already exist or, where missing, browser automation/RPA.
Next step
Let's talk about autonomous agents.
A 30-minute call to understand your context and whether we can really help. No commitment.