# Choose the next step your business needs.

Build new software, improve what already runs your business, or establish the capability to deliver with AI. We shape an engagement around a clear outcome and evidence of progress.

Canonical: https://peakroai.com/services/
Updated: 2026-10-27


## Six ways we help

### Enterprise software engineering

For organizations building a new product, platform or business application. Align business intent, architecture and incremental delivery so the system can evolve beyond its first release.

**Typical focus:** discovery, persistent requirements, architecture, tested implementation and operational handover.

[Build enterprise software](/services/enterprise-software-development/)

### Legacy modernization & migration

For systems that are important to the business but difficult to change. Recover the behavior that matters, choose a bounded modernization slice and validate it against the wider system.

**Typical focus:** business-rule recovery, dependency mapping, risk assessment, migration and regression evidence.

[Modernize an existing system](/services/legacy-modernization/)

### Systems integration

For business processes that cross applications, platforms and data boundaries. Make ownership, interface behavior and failure handling explicit before implementing the connection.

**Typical focus:** API and event contracts, data mapping, workflow orchestration, reconciliation and integration testing.

[Connect your systems](/services/systems-integration/)

### AI adoption advisory

For enterprise leaders deciding where to invest in AI and how to introduce it responsibly. Prioritize opportunities, assess readiness and define a governed pilot with measurable outcomes.

**Typical focus:** opportunity assessment, investment priorities, operating model, tool choices, risk ownership and an implementation roadmap.

[Plan AI adoption](/services/ai-adoption-advisory/)

### Enterprise agentic engineering enablement

For organizations that want their own teams to use AI effectively across delivery. Establish the operating model, integrate approved tools and coach people through a measured pilot.

**Typical focus:** decision rights, requirements practices, agent workflows, evaluations, review controls and independent-team handover.

[Enable your own team](/services/agentic-engineering/)

### Startup engineering

For founders moving from an idea to a proof of concept, an MVP, production readiness or the next stage of growth. Choose the work that reduces uncertainty and supports the next business milestone.

**Typical focus:** product scope, customer journeys, AI-built application assessment, dependable operations and scale readiness.

[Move your startup forward](/services/startup-engineering/)

## Three engagement models

| Model | When it fits | What we work toward |
|---|---|---|
| Enable your team | You want the capability to stay inside your organization | Your team runs the agreed delivery practices with reduced external support |
| Embed with your team | You need focused expertise alongside an existing delivery organization | Specialists contribute to real work and transfer practical knowledge |
| Deliver an agreed scope | You need an implementation partner responsible for a defined outcome | Working software and evidence against agreed acceptance criteria |

These models can be combined as the work evolves. Scope, responsibilities, deliverables and commercial terms are agreed for each engagement.

## Start small enough to learn, large enough to matter

A first engagement should resolve a meaningful uncertainty. That may be a modernization assessment, a product discovery exercise, an integration design or a pilot of agentic engineering on a real backlog item.

We agree what success means before implementation. Progress is reviewed against business value, total effort, delivery time and quality - not the volume of generated code.

[See how Requirements-Driven Engineering connects the work](/methodology/requirements-driven-engineering/)