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End-to-end quality and release, from kickoff to go‑live.

For launches, migrations, and major rollouts, we own the quality workstream across the whole program and stand behind the go/no-go decision. We work alongside your team or your implementation partner.

Talk about your program

One partner, from kickoff to closure.

We own quality across the whole program instead of joining for a testing phase at the end. AI speeds up every step, and you decide how much expert review sits in the loop.

  1. Kickoff and discovery

    We agree on scope and success criteria, then map where your application carries risk: critical user journeys, integrations, data, and for Salesforce, the data model and configured flows.

    With AI: your requirements, recent changes, and platform metadata are analyzed to surface coverage gaps in days rather than weeks.

  2. Quality strategy

    A test strategy with full requirements traceability, plus environment and test-data plans anyone can follow.

    With AI: test cases are drafted from your user stories and requirements, then reviewed by our experts.

  3. Delivery and project management

    We run the quality workstream like a project: plans and milestones, risks and dependencies, coordination across business analysts, developers, vendors, and regional teams, and a reporting cadence your stakeholders will actually read.

    With AI: defects are grouped by likely root cause, and status summaries are written automatically.

  4. Test automation

    A Playwright regression suite for the journeys that matter most, whether that’s sign-up and checkout or lead-to-opportunity and loan origination.

    With AI: test cases become automated scripts touchlessly, self-heal when screens change, and run in parallel across sharded CI workers.

  5. Release management and go-live

    Deployment validation, data checks, cutover support, and a go/no-go decision backed by evidence.

    With AI: automated quality gates flag risk before release, and every platform release is checked against your application.

  6. Hypercare and closure

    We stabilize after launch, burn down remaining defects, and hand over a regression suite your team can keep running.

    With AI: the closure report is assembled from the full delivery record, so nothing gets lost in handover.

Release Assurance

Ongoing, monthly.

Your application changes every sprint, and the platforms under it change too: framework upgrades, Salesforce’s three major releases a year, and Adobe’s regular AEM updates. Release Assurance regression-tests every one of those changes against your application before it reaches your users.

Between releases, we keep your automation healthy, review new coverage, and report trends from execution telemetry, so the suite stays trustworthy instead of slowly decaying.

Need a quality leader inside your team?

We also place a senior lead directly inside your organization on contract, as a QA architect, a quality program manager, or a release lead. You get someone who can set strategy, run the workstream, and make the go/no-go call, without a long hiring cycle.

Ask about embedded roles

Planning a launch or a major release?

Tell us where your program stands, and we’ll suggest the right shape of engagement.

Talk about your program