Engagement models

The right path depends on the workflow, the risk, and the operating model.

SynchrotronAI™ does not force every customer into the same package. Some work is best handled as professional services, some as a product pilot, some as managed operations, and some as hosted product access. We shape the engagement around the system you actually need.

Engagement design

Packaging should follow workflow maturity

For serious AI systems, pricing is less important than scope clarity: who owns the workflow, what support includes, how success is measured, and how the system expands after launch.

Professional services

Scoped around outcomes, architecture, timeline, responsibility, integration needs, and operating risk.

Product pilots

Prove value with a defined workflow, real records, concrete success criteria, and an expansion plan before broader rollout.

Managed services

Define support coverage, response expectations, maintenance windows, reporting cadence, and responsibility boundaries.

Hosted product access

Align product boundaries, users, organizations, usage controls, support paths, data handling, and rollout requirements.

Clear scope

We make the engagement path explicit before work expands.

Clients should know what they are buying, how success is measured, what support includes, which systems are in scope, and what happens after launch.

Scope and assumptions
Delivery milestones
Security and access needs
Support expectations
Product access readiness
Expansion roadmap
Next step

Choose the model after the workflow is clear.

The first conversation should identify whether this is a consulting project, managed service engagement, product pilot, or repeatable hosted product rollout.

Discuss the model