Enterprise quality.
Speed to move forward.
Bring experienced engineers into your team, give us ownership of a custom software outcome, or commission a managed agentic system. Each model combines enterprise-grade quality with an effective delivery pace.
Custom enterprise agentic software as an engineering and lifecycle service: architecture, orchestration, integrations, safeguards, evaluation, and operation within agreed boundaries.
A good fit when
- The system needs coordinated agents, tools, or state
- Behavior and failure modes can be evaluated
- You need engineering and ongoing system operation
- Authorization and approvals must constrain actions
What we agree
- System boundaries, orchestration, and allowed actions
- Data access and integration requirements
- Evaluation, recovery, and escalation criteria
- Support, consumption, and exit terms
Software, AI, and agentic engineers for a complex program you lead. Our people collaborate with your team and use your approved AI tools to strengthen implementation, integration, testing, and delivery.
Engineering focus
- Custom software and AI-assisted implementation
- APIs, domain logic, state, and permissions
- Enterprise integration and agentic capabilities where needed
- Testing, evaluation, observability, and reliability
Your operating model
- Your enterprise product and program leadership
- Agreed engineering roles, tools, and capacity
- Reviewed access and working arrangements
- Defined overlap, reporting, and review
Complex custom software with an accountable execution owner. We take an agreed system scope from technical discovery and specification through implementation, verification, controlled release, and handoff.
What you receive
- A working increment every sprint
- Source and history in your repository
- Specifications and architecture decisions
- Tests, checks, deployment, and operating guidance
What you provide
- A product owner who can prioritize
- Domain experts and acceptance decisions
- A security or cloud contact
- Timely access, feedback, and approvals
Know who owns what.
The responsibility model matters as much as the technology.
| Responsibility | Managed agentic AI | Embedded engineers | Project delivery |
|---|---|---|---|
| Project leadership | Shared service governance | Your team | STW delivery leadership |
| Execution | STW within agreed service | Engineers within your plan | STW within agreed scope |
| Business approvals | Your workflow owner | Your team | Your product owner |
| Ongoing operation | STW per service agreement | Your operating team | Handoff or separate support |
| Commercial structure | Setup + ongoing service | Agreed roles and capacity | Agreed scope and sprint cap |
| Best first step | Bound one recurring workflow | Define the skill and role gap | Define a testable pilot outcome |
We agree the scope, engineering roles, acceptance criteria, and commercial terms before work begins. Tool, model, infrastructure, and support costs are addressed where applicable. Start with the role or system increment that gives you the clearest evidence of fit.
Bring your requirements.
Let’s define the right starting point.
Bring a complex system, a demanding delivery program, or a critical engineering gap.