Agents that do the work
AI Automation
Automate the repetitive knowledge work, document processing, triage, generation, reconciliation, with agents that are observable, governed, and easy to steer.
Start a projectWhat is included
Document understanding
Extract structured data from PDFs, invoices, contracts, and emails. No templates needed, the model reads layout and context.
Email and ticket triage
Incoming messages classified, routed, and drafted responses generated. Your team only handles the exceptions.
Code and config generation
Turn requirements into scaffolded code, Terraform, SQL, or YAML. Review and merge, the boilerplate is done.
Scheduled agents
Agents that run on cron: scrape, reconcile, enrich, and report. You wake up to a summary, not a to-do list.
Guardrails and audit
Every automated action is logged, reversible, and scoped. Policy-as-code defines what the agent may and may not do.
Human escalation
When confidence drops or policy blocks, the task routes to a person with full context. No silent failures.
AI Automation questions
How long does a typical AI Automation project take?
TODO(content): describe timeline factors for AI Automation. Do not promise dates.
How is pricing set for AI Automation?
TODO(content): explain estimate inputs for AI Automation. Do not invent prices.
How do we collaborate across Dhaka and Berlin on AI Automation?
TODO(content): cover time zone overlap, demos and async updates.
What tech stack do you use for AI Automation?
TODO(content): list typical tools without inventing partnerships.
What do you need from us to start AI Automation?
TODO(content): list intake inputs such as goals, users and access.