// service
Applied Agent Delivery
One named workflow — analysis, triage, content, assurance — delivered as a working agentic application with provenance-bound, unattended operation.
shape
4–8 weeks per workflow
NVIDIA · Red Hat · model-agnostic (local + frontier routing)
outcome
Instead of a generic "AI strategy", you pick one workflow that costs real hours and get it running end-to-end: an agent that performs the task, gated by spec-driven quality loops so it can operate unattended with an audit trail. Delivery follows a spec-driven methodology with diagnostics for stuck phases and self-tuning from run telemetry, and includes sensitive-input handling such as local-model triage where data cannot leave your environment.
what you get
- Workflow specification and agent design (single- or multi-agent)
- Working application delivered with a spec-driven, quality-gated pipeline and run telemetry
- Unattended-operation guardrails and provenance binding
- Handover: runbook, cost model, and one internal champion trained
evidence — public, checkable
- specstride (specstride.ai) — spec-driven autonomous coding orchestration, critic-gated phases
- mixture-of-loops — provenance-bound unattended pipelines from Spec Kit artifacts
- prime-agent — self-improving RLM agent for long-running autonomous tasks
- antares-scan — local-model security triage of code folders
- video-to-deck, kanban, duby, havan, kedin — applied agents in production shapes
- Industrial agentic-AI delivery for oil & gas operators (anonymized capability category)
- AI enablement and course-material authoring (anonymized capability category)
The method is itself public and self-improving: Specstride drives coding agents phase by phase behind an LLM critic gate, diagnoses stuck phases, and learns per-phase settings from its own run telemetry — reverting any change that regresses. The same discipline wraps your workflow: nothing advances without evidence, and every artifact carries its provenance.
pairs with
Agent-Fleet Platform — Memory, Routing, Observability
A governed multi-agent platform with shared memory, model routing, and full token/cost/trace telemetry — so fleets are operable, not just demoed.
Fractional Architecture & Team Enablement
Ongoing senior network/AI-infrastructure architecture judgment — plus your engineers trained on automation, Kubernetes and agent operations — without a full-time hire.