Hire Opal to design and deliver your AI operating model.
Professional Services helps you move faster from strategy to working execution. If you need hands-on support for rollout, workflow design, integrations, governance, or enablement, our team can help you build the right path.
Outcomes that compound.
Opal is built to be set up and run by your team. Professional Services is here when you want a partner alongside you to move faster, prioritize the highest-impact use cases, and bring proven playbooks for workflow design, integrations, governance, and adoption.
This results in a shorter path from platform to measurable operational outcomes, with your team fully in the driver's seat.
- 01Faster time to value on high-priority workflows
- 02Lower rollout risk in complex environments
- 03Stronger governance from day one
- 04Better adoption across teams and stakeholders
- 05More reusable systems instead of one-off fixes
From strategy to working execution.
Design your operating system
Shape how Opal becomes your AI operating system, the workflows it runs, and the rollout path to outcomes.
Build governed workflows
Set up tasks, flows, agents, knowledge, integrations, and review controls that fit how your business actually operates.
Accelerate implementation
Reduce time lost to trial and error with direct help from the team that understands the platform best.
Enable your people
Train admins, operators, creators, and business teams so adoption does not stall after launch.
Scale what works
Package successful patterns into reusable templates, assets, and operational playbooks you can expand across the business.
A complete toolkit for operational AI programs.
What professional services can look like.
Every enterprise engagement is custom. These are common shapes to anchor the conversation based on how involved you want us in the work. We'll co-design the right mix of advisory, build, and embedded capacity, then scope pricing against a clear outcome in your first conversation.
Advisory project
Strategy, prioritization, and operating-model design before you build.
- Duration
- 2 – 6 weeks
- Pod
- Engagement Lead + Solutions Architect
- Pricing
- Fixed-fee
Implementation sprint
End-to-end build of a priority workflow with integrations and governance.
- Duration
- 6 – 12 weeks
- Pod
- Engagement Lead + FDE + Adoption Lead
- Pricing
- Fixed-fee
Forward deployed engineer
Embedded engineering capacity that ships against your backlog week over week.
- Duration
- 3 – 12 months
- Pod
- 1 – 2 Forward Deployed Engineers
- Pricing
- Monthly retainer
Managed rollout
Multi-team rollout with governance, change management, and enablement at scale.
- Duration
- 3 – 9 months
- Pod
- Engagement Lead + FDE + Adoption + Architect
- Pricing
- Fixed-fee + retainer
Ongoing optimization
Continuous tuning, observability reviews, and priority support after launch.
- Duration
- Quarterly
- Pod
- Named delivery team
- Pricing
- Annual retainer
A repeatable path from discovery to scale.
What a typical engagement looks like. Every program runs through the same five phases: scope, depth, and timing flex to your environment so you always know what's being produced, when, and who owns it.
Phase 01 ·Wk1–2Discover
Pressure-test priorities, map systems, and align on the first measurable outcome.
- Opportunity map
- Rollout plan
- Success metrics
Phase 02 ·Wk2–4Design
Workflow, agent, and governance design grounded in how your teams actually operate.
- Workflow blueprint
- Architecture doc
- Governance model
Phase 03 ·Wk4–10Build
Hands-on implementation with your stakeholders in the loop on every iteration.
- Production workflows
- Integrations
- Test coverage
Phase 04 ·Wk10–12Launch
Controlled rollout with enablement, runbooks, and adoption tracking from day one.
- Enablement kit
- Runbook
- Adoption dashboard
Phase 05 ·QuarterlyScale
Reusable patterns, tuning, and review cadence so what works expands across the business.
- Pattern library
- QBR cadence
- Optimization backlog
Built for the controls your auditors expect.
Professional Services engagements are designed around your existing security, risk, and change-management posture, not around it.
Enterprise-grade controls
Role-based access, least-privilege defaults, and policy-driven approvals across every workflow.
Full auditability
Every step, decision, and AI action recorded with traceable lineage you can hand to audit and risk.
Regional hosting options
Deploy in the region your data residency requirements demand, including isolated environments.
Secrets and identity
SSO, SCIM, and managed secrets so access stays consistent with your existing IAM stack.
Compliance posture
Mapped to SOC 2 Type II, ISO 27001, and ISO 42001 control frameworks, with formal certifications underway. GDPR ready today; current documentation available under NDA.
Change control
Versioned workflows, staged promotion, and rollback so changes ship safely in regulated environments.
SOC 2 Type II, ISO 27001, and ISO 42001 certifications are actively in progress. Current controls, evidence, and target dates are shared under NDA on request.
Questions executives ask first.
Don't see your question? Bring it to the first conversation. We'll give you a direct answer.
Most engagements are fixed-fee against a defined outcome. Forward Deployed Engineers and ongoing optimization are typically structured as monthly or annual retainers. We share an investment estimate in your first conversation once we understand scope, team size, and timeline.
From plan to production.
Tell us where you are in your AI program and what you want to accomplish. We'll come back with a recommended engagement and next steps.