Less repetitive coordination
Collect context, draft updates, route cases and prepare system actions across the tools your team already uses.
01 THE DEPLOYMENT
Engineer the whole operating system around the model.
Sosteco builds tool-connected AI agents around bounded operational jobs. Each deployment defines what the agent can read, what it can propose, what requires approval and how every important action is logged and evaluated.
02 OUTCOMES
What the engagement is built to change.
Permissioned execution
Limit tools, records and actions by identity, workflow state and risk, with approval before consequential changes.
Auditable performance
Trace inputs, tool calls, decisions and outcomes so failures can be reviewed and the workflow can improve.
03 ENGINEERING SCOPE
From constraints to an operable deployment.
- Workflow mapping and selection of the first bounded agent use case
- ERP, MES, PLM, CRM, ticketing, email, document and API integration
- Tool contracts, identity propagation and least-privilege permissions
- Human-in-the-loop review, escalation and exception handling
- Agent evaluation, tracing, observability and production support
04 DELIVERY PATH
Evidence before scale.
Map
Document the current workflow, decisions, systems, exceptions and measurable baseline.
Constrain
Define tools, permissions, approval gates and conditions where the agent must stop.
Pilot
Run representative cases in a controlled environment and measure correctness and time saved.
Release
Deploy gradually with tracing, review queues, rollback paths and operational ownership.
05 PRACTICAL QUESTIONS
Before the first technical decision.
What makes an AI agent different from a chatbot?
A chatbot primarily exchanges messages. An agent can use defined tools to retrieve records, call APIs, prepare changes or advance a workflow under explicit permissions and controls.
Can an agent connect to our existing ERP or MES?
Usually, if the system provides an API, database view, message interface or supported automation layer. We assess integration risk and avoid fragile screen automation when a controlled interface is available.
How do you prevent an agent from taking the wrong action?
We combine least-privilege tools, validation rules, approval gates, deterministic checks, test cases, monitoring and clear stop conditions. High-impact actions stay under human control.
07 START WITH THE CONSTRAINT
Bring us the real workflow.
We'll define the smallest deployment that can prove technical feasibility and operational value.