Scale your operationswith AI youcan govern.
Opal is the operating layer for business operations and digital workforce development. A governed system where your people, processes, and AI models work against the same plan. Bring any model you choose; keep one system of control over how work, agents, and token consumption are managed across the enterprise.
AI spend is rising.
Operating leverage is not.
Most organizations are buying AI tools faster than they can govern them. Copilots in one suite, agents in another, model contracts on three vendors, and the actual work of the business still moves through email, chat, spreadsheets, and status meetings. The result is fragmented adoption, runaway token cost, and no defensible answer to the board on risk, control, or ROI.
Opal is a different category. It is the operating system for the digital workforce, a unified control plane where models are interchangeable, agents are governed, execution is accountable, and people work in lockstep with the technology they use. Rather than another tool to adopt, it is the connective layer that aligns human and AI collaboration, orchestration, and intelligence under one shared system of record as AI moves from pilot to production.
Four layers. One operating system for the digital workforce.
The connective tissue between your systems, your people, and the agents and models doing the work, without locking you into any of them.
Connect systems, knowledge, and workflows
Bring the systems, data, knowledge, and workflows that already run the business into one connected operating layer. Model-agnostic by design, so any AI you adopt plugs into the same foundation instead of becoming another silo.
Orchestrate people and AI
Opal orchestrates the digital workforce so your people, agents, and models work against the same plan. Decisions, conversations, tasks, and handoffs flow through one shared system instead of improvised across disconnected copilots.
Execute with accountability
Turn intent into outcomes you can measure. Every task, flow, and agent generates the signals you need to track performance, quantify impact, and feed operational intelligence back into the business as it runs.
Govern models, agents, and spend
Granular control over model selection, agent behavior, token consumption, access, and audit. Enterprise AI that leadership and regulators can defend at any scale of adoption.
Built for how enterprises actually operate.
Built for operations, not individuals
Most AI products optimize for individual productivity. Most software development tools optimize for shipping code. Opal optimizes for how an enterprise actually operates, connecting people, AI agents, and systems through orchestration, shared context, and collaborative intelligence.
One workforce of people and AI
Leaders use Opal to manage a digital workforce as an integrated team, not separate tools. Human expertise and AI capability work together through shared workflows, with role, policy, audit, capacity, and cost in view, and the freedom to evolve the underlying models as the market advances.
An operating model that scales with adoption
The opportunity is a workforce where people and AI collaborate through the same systems, the same context, and the same accountability. Opal makes that operating model possible at any scale of adoption.
The modules powering operational AI in Opal.
Agents
Digital workforce execution
Flows
Structured multi-step orchestration
Spaces
Shared operational context
Tasks
Accountable execution
Threads
Decision-making & collaboration
Insights
Visibility & optimization
Knowledge
Trusted business context
Governance
Enterprise-ready controls
Marketplace
Reusable assets & faster deployment
Turn fragmented AI experiments into governed operating models.
Workflows, skills, and templates built once compound across the business. That's where the 3× faster execution and 60% less manual coordination come from.
Browse pre-built workflows, skills, and templates from the Opal marketplace and get to those outcomes faster.
Designed for governance, permissions, auditability, SAML, and secure integrations.
Skip the cold start. Compose with proven building blocks.
The Opal Marketplace lets enterprises, partners, and creators shorten time-to-value with reusable agents, skills, tools, connectors, templates, and workflows. Vetted for the operating model, not the demo.
From pilot to production, with less risk.
Opal Professional Services partners with enterprise teams on enablement, implementation, integration, and rollout strategy across complex, regulated environments.
Operationalize with our teamBuilt for every team that runs the business.
Opal connects intelligence to execution across the functions that move your organization forward. Explore how each team puts it to work.
- MarketingCampaign orchestration, content workflows, and brand governance.
- SalesPipeline execution, account context, and deal coordination.
- Customer SupportFaster triage, approved knowledge, and cleaner escalations.
- Human ResourcesPeople operations across hiring, onboarding, and lifecycle.
- FinanceClose cycles, approvals, and audit-ready financial workflows.
- OperationsCross-functional execution, intake routing, and review rhythms.
- Project ManagementClear ownership, fewer dropped handoffs, structured delivery.
- ITInternal service, incident response, and access workflows.
- AnalyticsOperational insights tied to the workflows that act on them.
- LegalContract intake, review workflows, and compliance checkpoints.
Three ways to explore Opal.
By industry
Specialized workflows, controls, and service models for financial services, healthcare, manufacturing, technology, the public sector, and more.
By function
Operationalize AI across revenue, customer, finance, operations, IT, and the back-office functions where execution actually lives.
By use case
AI governance, agentic operations, human-AI collaboration, workflow orchestration, AI observability, and enterprise adoption.
Operationalize AI
across your business.
Build the layer your teams need to connect work, coordinate intelligence, and execute with AI.
One signal a month on operational AI.
Upcoming events, platform roadmap updates, and the latest research from our team and network - distilled into a single monthly read.
- Monthly event roundup and early access invitations
- Platform roadmap notes from the Opal product team
- Original research on operational AI in the enterprise