Remove the bottlenecks slowing your business down.

It is a paid measurement engagement for one bottleneck. We define the workflow boundary, KPI, current performance, exception types, problem cost, systems, and access needs, then hand you a fixed Launch scope. You keep the pack either way. If the same workflow proceeds to Launch with Svolta, the Launch price already includes that scoping work.

Workflow Scoping measures the current KPI and sets a conservative minimum before Launch. We do not apply another client's percentage to your operation. The production workflow handles the repeat path; your team keeps exceptions, approvals, and judgment calls.

If you have a senior technical team with real delivery and production-support capacity, build it. You have the domain knowledge and records; Svolta brings workflow measurement, integrations, exception design, quality checks, and production operation. Workflow Scoping is useful either way because it gives either team the same boundary to build against.

The Launch runs inside your environment and ownership follows the signed engagement terms. You receive training, runbooks, quality checks, source records, and operating notes. AI Accelerator earns its place by supporting the accepted system and providing bounded change capacity; it does not depend on holding your code or business data hostage.

The answer depends on the engagement. The signed scope or DPA identifies the deployment, providers, data location, model settings, access, retention, and logging required for the workflow. A client-owned deployment can be scoped where needed. We do not claim one universal hosting, retention, training, or logging configuration on the website.

Workflow Scoping is usually 1 to 2 weeks. Launch timing depends on the integrations, data, exception path, and acceptance scope defined in that Baseline Pack. The target is the first measured improvement 14 to 30 days after the production thin slice goes live, not a blanket promise that every complete Launch ships in 14 days.

Workflow Scoping and Launch are fixed-scope engagements, not seat licences. AI Accelerator is a monthly support engagement for the accepted production boundary; notice, included usage, and support terms are written into the agreement. New features and material changes are separately scoped. You own the pack and accepted build deliverables under the signed terms; Run is ongoing production value, not a data or code lock-in.