Not chatbots, and not strategy decks. We build autonomous agents that manage delivery pipelines, operate cloud infrastructure, and write production software to your standards. We know they work because they run our company.
Most AI consulting produces recommendations. Ours produces working agents: systems that read your meetings, move your tickets, watch your cloud, and ship code that respects your engineering standards, with guardrails that keep humans in charge of what matters.
Every capability on this page runs inside Excite-Data today. When we deploy it for you, we are transferring an operating practice, not an experiment.
Put an Agent to WorkVirtual scrum masters that shape epics, features, and stories from meeting transcripts, and move tickets automatically when the work actually ships. Runs across ClickUp, Jira, Azure DevOps, Linear, and Notion.
Model Context Protocol connectors that let agents read and act in virtually any modern system: ticketing, ERP, monitoring, document stores, chat. If it has an API, we can put an agent to work in it.
A development harness that understands and enforces your coding standards, CI/CD gates, DevSecOps controls, and infrastructure-as-code patterns, so AI-written code arrives conforming, reviewed, and deployable.
FinOps cost governance, health and log monitoring, and automatic investigation with remediation on severe incidents. Your infrastructure reports on itself and fixes what it safely can.
Meeting transcripts become structured epics, features, and stories. Completed work closes its own tickets, with the audit trail to prove it.
Purpose-built connectors that give agents governed access to your line-of-business systems, scoped to exactly what each agent may see and do.
Agents that write and review code inside your conventions: naming, testing, branching, pipelines, and security gates included.
Cost attribution tagging, idle-resource detection, and spend anomaly alerts, so the cloud bill is governed continuously instead of audited annually.
Health and log monitoring where severe events trigger an agent that investigates, gathers evidence, and remediates or escalates with a full incident narrative.
Clear boundaries between what agents may do autonomously and what requires human approval, with audit trails throughout. We design for you the controls we operate ourselves.
Every claim on this page is our daily operating reality. Our tickets move themselves when features ship. Our cloud spend is tagged, attributed, and corrected by agents. Our monitoring investigates its own alerts. Substantial parts of the website you are reading were built and reviewed by our agents, inside our standards.
That is the difference between AI strategy and AI operations: we sell what we already operate.
Book a discovery call and we'll show you exactly where your data is leaving value on the table, and how we'd help you capture it.