AI Services
Cross-Tool Workflow Automation
We redesign fragmented workflows across enterprise systems, then automate deterministic work and add AI reasoning only where the process genuinely requires context, state, or dynamic decisions.
Workflow first
Your workflow crosses five systems. Your automation should too.
We begin with the current process: actors, systems, inputs, delays, exceptions, approvals, and measurable pain. Then we design the target workflow around the customer's existing technology stack wherever practical.
- ServiceNow
- Splunk
- BigPanda
- Teams
- Slack
- Jira
- GitHub / GitLab
- Azure DevOps
- Boomi
- UiPath
- Power Automate
- MuleSoft
- 1
Deterministic automation
Rules, ticket creation, field mapping, notifications, status updates, and API transformations.
- 2
AI-assisted work
Summaries, drafts, classifications, knowledge retrieval, and recommendations with review or confidence thresholds.
- 3
Agentic reasoning
Evidence gathering, dynamic branching, long-running context, runbook selection, and multi-step investigation.
- 4
Human-controlled action
Production changes, sensitive communications, and high-severity decisions remain explicitly approval-controlled.
Example pilot
Incident enrichment & response coordination.
Alert
Receive a selected alert or event from an observability platform.
Record
Create or update the system-of-record incident and preserve ownership.
Enrich
Retrieve service ownership, prior incidents, relevant knowledge, deployment context, and other approved evidence.
Recommend
Generate a concise operational summary and suggested next steps.
Coordinate
Publish approved context to collaboration channels, capture human feedback, and update the incident workflow.