AI orchestration without duct tape
Steepworks turns model calls into dependable workflows—planning steps, routing models, coordinating tools, and delivering auditable outcomes.
What is AI orchestration?
It is the layer that plans, routes, and governs every AI-assisted workflow. Instead of wiring prompts straight to providers, Steepworks choreographs multi-step logic, tool calls, and human touchpoints so real products stay reliable.
- Plan: Translate business intent into deterministic steps with assigned models and guardrails.
- Route: Pick the best partner model per step—OpenAI for reasoning, Anthropic for governance-heavy tasks, Google for verification.
- Augment: Hydrate models with context memory, documents, and live data through shared adapters.
- Monitor: Capture telemetry on quality, cost, and SLA compliance across every application.
Inside the Steepworks workflow engine
Agent planning & reasoning
Steepworks decomposes broad intents into deterministic plans that select the right models, tools, and fallbacks.
Tooling & approvals
Shared adapters connect retrieval, web actions, document sync, and human checkpoints in a governed workflow.
Outcome analytics
Every run emits metrics on quality, latency, and spend—so teams refine playbooks without trawling logs.
Playbooks are versioned assets. Update a workflow once and every connected product inherits the improvement instantly.
Why orchestration matters
Multi-step agentic thinking
Complex deliverables require reasoning across steps, not single prompts. Steepworks plans, routes, and tracks each step.
Reusable playbooks
Wins in one product become assets for the rest of your portfolio—without copy-pasting brittle scripts.
Governance baked in
Budget controls, policy checks, and audit trails travel with every workflow so scale never means losing oversight.
Operator-first tooling
From approvals to live metrics, operators get the dashboards and levers they need to keep outcomes predictable.
Automation that thinks in steps
Whether it’s underwriting documents, summarizing research, or prepping customer deliverables, Steepworks keeps agentic workflows on track. Every step can invoke tools, collect approvals, and recover from failures automatically.
- Conditional branches: Route based on confidence scores, policy matches, or human reviews.
- Human-in-the-loop: Escalate specific steps to operators with context snapshots and suggested next moves.
- Replay & audit: Re-run workflows with different models or policies and compare results side-by-side.
Telemetry delivered
- Per-step latency, cost, and success rates.
- Quality signals from human reviews and automated checks.
- Governance reports with policy adherence and escalation history.
Put orchestration at the center of your AI roadmap
We’ll map your use cases, align the right models and tools, and show how Steepworks keeps multi-step workflows resilient.