Rules-first agentic orchestration.

Decisions agentic orchestration platform—engineered around an enterprise rules engine—helps agents take action safely, consistently, and reliably across processes and systems.

Decisions agentic orchestration

Agents can move fast. That's the problem.

Disconnected process logic

Inconsistent decisions at scale

Agents relying on prompts instead of policy deliver different outcomes for the same request. No consistency. No defensibility.

Numbered Checklist

Compliance you can't prove

Regulators don't accept "the LLM decided" as an answer. Without deterministic rules, your audit trail has gaps you can't close.

Sprawl

AI sprawl without guardrails

Every team is building agents. No one is coordinating them. Logic is scattered, duplicated, and impossible to version or roll back.

The control plane for agentic AI.

Decisions brings together orchestration and deterministic control. The rules engine is the deterministic layer that keeps agentic work compliant and predictable.

Guardrails

Guardrails

Define exactly what each agent is authorized to do—and what it isn't. Statement rules, truth tables, and matrix rules enforce boundaries that no prompt injection or model drift can override.

Adaptive

Adaptive agents

Let AI agents handle the ambiguity—reasoning over unstructured data, interpreting context, adapting in real time. But lock the final decision to your rules.

Build, govern, and scale agentic AI.

Visual agent and workflow design illustration
Native rules engine governance illustration
Human-in-the-loop escalation illustration
Connect any agent, model, or system illustration
Real-time observability and auditability illustration
SDK & Custom Connectors
Visual Agent & Workflow DesignAgents, rules, human tasks, and integrations—designed together in one low-code canvas.

Agents, rules, human tasks, and integrations—designed together in one low-code canvas.

Visual agent and workflow design illustration
Workflow automation
Native Rules Engine Governance
User Info Box
Seamless Human-in-the-Loop Escalation
Connect / integrations
Connect Any Agent, Any Model, Any System
Connect / integrations
Real-Time Observability & Auditability

Trusted by organizations solving dynamic problems.

“There hasn't been a single project I haven't been able to tackle while using Decisions. It has vastly helped improve the efficiency of our day-to-day processes. Other BPM/no-code software seems to do a lot, but Decisions truly handles everything I throw at it.”

Adam W.
Decisions customer at work
Decorative line pattern

Who governs the agents?

As AI agents move from recommendations to action, governance becomes critical. Learn why rules engines are emerging as the control plane for safe, scalable enterprise AI.

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Why users choose Decision for agentic orchestration.

Cross system architecture

Rules at the core

Govern agent behavior with reusable, versioned logic business and IT teams can understand.

Workflow Orchestraion

Orchestrate everything in one place

Orchestrate agents, models, APIs, tools, apps, data, and workflows through one governed enterprise platform.

Control over visibility

Visibility into work as it happens

Monitor agentic processes, surface exceptions, and improve performance with process intelligence

Decisions handles hundreds of diverse use cases. If you imagine it, Decisions can build it.

By Industry
  • Insurance use case imagery
    Contract ManagementAutomate accounting derivations, standardize outputs, and replace a legacy contract-writing solution.Learn More
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Contract ManagementAutomate accounting derivations, standardize outputs, and replace a legacy contract-writing solution.Learn More
View a Collection of Use Cases

Questions?
We've got answers.

What is agentic orchestration?+−

Agentic orchestration is the coordination of AI agents, human tasks, business rules, and enterprise systems within a governed framework—so that autonomous agents can operate reliably, compliantly, and transparently across end-to-end business processes.

How is Decisions' approach different from other agentic orchestration platforms?+−

Decisions is built around a native rules engine that processes billions of evaluations per hour. Every agent action is governed by the same deterministic rules your enterprise already relies on—not just visual workflows or prompt-based instructions.

What role does the rules engine play in agentic orchestration?
Decisions Logomark

Move from agent experimentation to governed execution.

Build agentic processes with the orchestration, rules, and visibility needed to move from AI experiments to governed enterprise execution.

API connections

The handoff black hole

Agents finish tasks with no governed way to route results, escalate, or trigger what's next. Critical work falls through the cracks.

Tick error

Unpredictability

Redundant agent calls, uncontrolled API usage, and constant rework drive costs up—while trust in the results stays low.

User Settings

Human oversight happens too late

Agents can act before the right person has a chance to review, approve, or intervene. By the time an issue surfaces, the action is already complete and harder to unwind.

Single task

Testing

Shadow-test agent behavior against your rules before anything goes live. A/B test rule variations. Roll back instantly if outcomes drift. Every change is versioned, every result auditable.

Integration Business

Model- and system-agnostic design

Use the agents, models, and systems that fit your business without rebuilding core processes.

Checklist

Audit-ready action history

Track the rules, inputs, outputs, handoffs, and approvals behind every agent-driven outcome.

User Tick

Human oversight where it matters

Set approval points, escalation paths, and exception handling so agents can move work forward without acting beyond defined business boundaries.

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The rules engine acts as the governance control plane. It defines what agents can and cannot do, enforces compliance boundaries, triggers escalations, validates outputs, and ensures every decision is consistent, auditable, and aligned with your business policies.

Can I use my own AI models and agents with Decisions?+−

Yes. Decisions is model-agnostic and integrates with any LLM provider, agent framework, or custom-built AI service through REST APIs, SOAP, .NET assemblies, and message queues. You control the intelligence; Decisions governs the orchestration.

Is agentic orchestration only for companies already using AI agents?+−

No. The platform supports the full spectrum—from rules-driven automation with no AI, to hybrid workflows that blend deterministic rules with AI-powered agents. You can start with rule-based automation and layer in agentic capabilities as your organization matures.

How does Decisions handle human-in-the-loop scenarios? +−

Rules define confidence thresholds and escalation triggers. When an agent’s output falls outside acceptable parameters, the platform automatically routes work to the right human reviewer with full context—then resumes the orchestration once the human decides.

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