Workflow design
Turn manual coordination into governed agent runs.
Map the real handoffs, approvals, data sources, and failure paths before automation touches production work.
B2B AI implementation
Agentic workflows that survive real operations.
Fasihi helps small and mid-sized teams implement governed AI agents for concrete business workflows, with Absotively AI as the product focus.
The goal is not another chatbot. The goal is a workflow that can understand context, call tools, ask for input, respect policy, and leave a trace that a business can trust.
How Absotively AI fitsImplementation services
From fragile automation to managed agent operations.
Implementation
Build agents around your systems, not beside them.
Connect Jira, GitLab, AWS, Slack, internal APIs, and domain-specific tools through controlled workflows.
Operations
Ship with observability, evaluation, and rollback paths.
Make each run inspectable with traces, policy checks, quality gates, and practical fallback behavior.
Product focus
Absotively AI for agent workflow governance.
Absotively AI is being shaped around practical agent operations: designing agents, connecting approved tools, running workflows, evaluating outputs, and keeping every step observable.
Use cases
- Issue-to-merge-request implementation workflows
- AWS operations with reviewable deployment steps
- Tool governance for Jira, GitLab, Slack, and internal APIs
- Evaluation and alerting when agent quality drifts
Operating model
Small start, serious engineering.
01
Start from one high-value workflow
02
Keep humans in charge of approval points
03
Design for auditability from day one
04
Measure quality before expanding scope
Contact
Have a workflow that needs agentic execution?
Send the workflow, the systems involved, and what currently makes it slow or risky. Fasihi can help shape a first implementation that is narrow enough to deliver and structured enough to grow.
senior.fasihi@gmail.com