Product before code
Every delivery starts from a business objective, not a task list.
Product Engineering
Digital products, built with AI.
Portals, apps, internal tools, design systems and new journeys, built for your operation. With Arc, AI works at every phase and every delivery ships with quality criteria and a record.
The thesis
A product that evolves with every release.
Product Engineering is proprietary development and product engineering: digital products designed for your operation, from the first prototype to the releases that follow. AI works from discovery to testing, alongside the squad, and Arc records what was done in each delivery and why.
See how it works →AI at every phase
From backlog analysis to code review, within defined limits.
A squad as an extension of your team
Rituals and priorities shared with the people who know the operation.
Governance in view
Criteria to enter and exit each phase, followed by your team.
AI has made building faster. What makes the difference is knowing what to build first and proving what was delivered.
- The backlog only growsBusiness requests wait quarters to make it into a release.
- The old system holds the journey backEvery change on screen depends on code that few people know.
- Every screen looks differentWithout a design system, every team rebuilds buttons, tables and forms.
- Launching takes too longThe idea is ready long before the product reaches the user.
What we build
Six workstreams, the same way of working.
Each workstream can start on its own or join the others, always with the same squad and the same method.
Design system
Components, tokens and usage rules in one place, so every new screen starts out consistent.
With AIdocumentation and component variants
Systems modernization
Legacy systems rewritten piece by piece, without stopping the operation, with rules extracted from the existing code.
With AIlegacy code reading and regression tests
Redesigned journeys
Customer, distributor or internal team journeys revisited with research, prototyping and measurement.
With AIclickable prototypes and usage analysis
Backlog and roadmap
Business objectives broken into quarterly targets and prioritized in the backlog, release by release.
With AIstory refinement and estimation
New products
From concept to first launch in short cycles, with an early working prototype to validate.
With AIprototype and first version of the code
Evolving products
Continuous releases for products that are already live, without skipping review.
With AItesting, review and technical documentation
How it works
All of Arc working for your product.
Arc is DIGITAL HUB’s delivery model. In Product Engineering, the four phases repeat with every release, with AI in all of them and a verifiable result at the end of each one.
01Strategy
- Focus
- Objectives, quarterly targets and what goes into the next release
- With AI
- Reading the backlog, usage and existing rules
- Outcome
- Prioritized roadmap
02Build
- Focus
- Experience, software and integration architecture
- With AI
- Testing, code review and data migration
- Outcome
- Deliveries with verifiable quality
03Operations
- Focus
- What goes to production and when
- With AI
- Incident monitoring and triage
- Outcome
- Stable product, with release notes
04Evolution
- Focus
- What the next release needs to solve
- With AI
- Reading the usage and outcome of each delivery
- Outcome
- Backlog updated with data
Evolution feeds back into Strategy.
Underneath every release
- Strategy
- Blueprint
- Experience Delivery
- Integration
- Assets
- Governance
Arc IntelligenceAgents and automation work in every phase, within defined limits, and every step is recorded and auditable.
Entry and exit criteriaLimit set for agentsAuditable record
In practice
Every phase has an exit criterion, and your team follows each one.
- 1Nothing goes into development without an effort and complexity estimate.
- 2Priorities set with your team, in a window per release.
- 3Code review and testing before anything reaches your environment.
- 4Every delivery ships with validation evidence and technical documentation.
- 5Release notes and a close-out report with every release.
Ajinomoto · Meu PedidoHow Ajinomoto sped up the digitalization of its distribution channels
Case
Business goals guide every release.
At Meu Pedido, Ajinomoto’s B2B marketplace with its distributors, the strategy was built together: broad annual objectives broken into quarterly targets that guide backlog prioritization on the roadmap. DIGITAL HUB’s Managed Agile Squad works as an extension of Ajinomoto’s operation, with joint rituals plus operational, tactical and strategic reporting.
- 4x
- faster onboarding of new distributors
- 520%
- channel growth (2024 vs 2023)
- 3
- Ajinomoto global internal awards for the project’s results
How we lead
From the first backlog to an evolving product, with the same team and Arc in the delivery.
- 01
Understand
Business, users, systems and the code and design that already exist.
- 02
Build
Short releases, with AI at every phase.
- 03
Evolve
Measure usage, update the backlog and decide the next release with your team.
Product projectA design system, a modernization, a journey or a new product, with a defined scope, start and end.
Continuous evolutionThe same squad stays on the product after launch, with goals set together with your team and a close-out report for every release.
The same team, from the first conversation to ongoing operations.
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