Agentic Index

Autonom8 vs Flowable (2026)

Regulated processes built on open standards, with AI steps inside, are the common ground here, and banks and insurers buy from each. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Autonom8 focuses on customer journeys, assisted cases worked by staff and self service journeys finished by customers, built in a low code studio, with agents that run a prompt on a model the builder picks and hand typed output back to the workflow. Flowable models processes and cases in BPMN, CMMN and DMN and ships typed agents, among them utility, knowledge, document, orchestrator, guardrail and evaluator agents. Its orchestrator reads the state of a case and suggests or takes the next step, backed by knowledge bases, three levels of audit down to each model exchange and unit tests for agents. Go to Autonom8 for journey building with per workflow pricing, and to Flowable for case management where agents work under guardrails, audit and tests, in an EU or US cloud or on premises.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Autonom8 and Flowable are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,006 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Autonom8 if

  • Customers should complete onboarding or account opening on their own in self service journeys.
  • Pricing per workflow run with no minimum commitment suits you.
  • Builders should choose Gemini, OpenAI or Anthropic models for each agent.
  • Chatbot and live chat should come with the journey platform.

Choose Flowable if

  • An orchestrator agent should steer each case and suggest the next step for a person to accept.
  • Guardrail agents should redact personal data and block off topic answers around every model call.
  • Agents should answer from an indexed knowledge base over your own policies.
  • Every model exchange and its token count should be kept in the audit trail.
  • You want the platform on premises or in a dedicated cloud, installed with Docker, Helm or WAR files.
Feature
A
Autonom8
F
Flowable
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
A
Autonom8
F
Flowable

Entry price

Lowest public entry point

Usage based per workflow run, a few dollars per loan for a complex workflow Free open source engines · 30 day cloud trial · platform priced through sales

Pricing confidence

How public the numbers are

Public, partial Contact only

Billing

Primary billing axis

workflows run per month Cloud plan priced monthly by usage, or an enterprise license, quoted by sales

Variable cost

Workload / overage exposure

Medium variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tierTrial
Free tierTrial

Buying motion

Self-serve vs sales call

Mixed Sales call

Autonom8 remains under its own name while Uniphore's intended acquisition, announced 28 August 2025, is pending. Flowable's engines are open source under Apache 2.0, while its agent features need a separate AI license.

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