We build governed workflows for app intelligence, review mining, localisation QA, experiment planning, paid-to-store continuity and recommendation monitoring — connected to your store, product and measurement systems, and owned by your team.
For multi-app portfolios, multi-market teams and enterprise release operations where the volume of decisions has outgrown manual assembly.
Intelligence feeds release operations. Release operations feed growth integration. Governance sits across all three so speed never outruns accuracy or ownership.
Store queries, category movement, reviews and assistant observations arrive as one decision queue instead of six dashboards.
Metadata, creative, localisation and experiment backlogs move with owners, approval gates and a written record of what shipped.
Paid media, storefronts, product events, subscriptions and retention are joined around value rather than install volume.
Every workflow carries permissions, source records, prompt panels, quality checks and human release approval.
Each workflow is scoped with an owner, an input source, an evaluation set and a decision it is meant to accelerate.
| Workflow | Cadence | What it produces |
|---|---|---|
| App intelligence briefs | Weekly | Store movement, category shifts and competitor releases summarised into decisions with named owners. |
| Review mining | Continuous | Themes, defects, feature demand and rating risk coded from store reviews and support tickets. |
| Localisation QA | Per release | Market-by-market checks for meaning, character limits, store compliance and cultural fit. |
| Experiment planning | Per cycle | Hypotheses, variants, sample expectations and decision rules drafted before anything is published. |
| Paid-to-store continuity | Continuous | Ad promise, storefront, custom page and activation event checked for a single coherent argument. |
| Recommendation monitoring | Repeated panels | Assistant answers observed and coded for mention, recommendation, citation and factual accuracy. |
Access is role-based and revocable. Data, workflows and outputs stay client-owned, so nothing depends on our continued involvement.
App Store Connect and Google Play Console data, releases and experiment surfaces.
Event streams, activation and retention models, subscription and revenue systems.
Ad platforms, attribution and incrementality reporting inside your accounts.
The trackers, docs and channels your team already runs, so output lands where work happens.
A deployment is complete when your team can run, evaluate and change the workflows without us.
Document current workflows, data access, decision owners and the failure points AI should remove.
Build two or three high-leverage workflows with evaluation sets, permissions and approval gates.
Connect store, product, media and work systems; wire outputs into the release and reporting cadence.
Documentation, training, evaluation criteria and change process transfer to your team.
These constraints are written into the engagement, not offered as reassurance.
No metadata, creative or public copy publishes without a named human approving it.
Every generated claim carries the source it came from, or it does not ship.
Prompts, workflows, evaluation sets and outputs remain client property.
Where a system cannot observe something deterministically, the report says so.
Client identities and engagement detail stay confidential. Deployment outcomes are reported against baselines and observation windows agreed in writing.
Multi-app portfolios, multi-market teams and enterprise release operations where store, product, media and localisation work already exceeds manual capacity.
No. It is a deployment engagement. Workflows are built inside your systems and handed over with documentation, evaluation criteria and a change process.
Each workflow ships with an evaluation set, quality scoring and human approval before anything reaches a store surface or a public page.
No. The intent is to remove repetitive assembly work so senior people spend time on judgement, positioning and commercial decisions.
Scoped per deployment against workflow count, systems involved, markets and governance requirements. Pricing is written into the proposal before work starts.
Access is role-based and revocable, records stay in client-owned systems where possible, and handling terms are agreed in the MSA before deployment.
Send the release cadence, the markets, the systems and the decisions that stall. We will return a deployment scope with workflow count, governance model and pricing.
Measure mention, recommendation and citation behaviour.
The compounding store operating system.
Paid growth connected to activation and value.