Autonomous, task-focused agents and multi-step workflows that run on your stack with SLAs, retries/timeouts, and full audit trails. Prove one KPI in 60–90 days, then scale without lock-in.
Ship one agent or one workflow to real users—measured, observable, and safe. We instrument KPIs from day one, integrate with your tools, and harden prompts with evals and guardrails so outcomes are repeatable in production.
Outcome-first
Pick a KPI, validate fast, expand methodically.
Guardrails built-in
Evals, prompt hardening, red-team-tested flows.
Enterprise-grade
RBAC, logging, retries/timeouts, observability.
No platform lock-in
Composable components; swap models/tools freely.
Flexible
Cloud/VPC or on-prem; you keep IP and control.
Proven in the wild
38+ live workflows, 10K+ monthly enterprise queries.
Custom AI Agents
Autonomous agents for research, routing, and enrichment.
Evaluation & Telemetry
Tests, thresholds, success/failure hooks, KPI dashboards.
AI Workflows
Multi-step automations coordinating people, data, and systems.
Policy & Safety Layer
Prompt-injection defenses, data scopes, audit trails.
- Deployed agent/workflow in your environment
- Runbook & SOPs (alerts, retries, timeouts, confidence thresholds)
- Evaluation suite (tests, metrics, dashboards)
- Guardrail pack (policies, filters, red-team fixes)
- Handover documentation + maintenance plan
- AI Audit (Complimentary) — Discovery workshop, ROI & risk map.
- Pilot Project (60–90 days) — Fixed scope to KPI proof.
- ScaleOps (Monthly) — SRE-style reliability + iterative improvements.
In your cloud/VPC or on-prem; you keep data and IP.
We choose 1–3 KPIs and instrument them on day one.
RBAC, logging, evals, prompt-injection guardrails, and audits.
Yes—architecture is model/provider-agnostic.
Typical pilots land KPI movement in 60–90 days.
