Engineering Engagement Models
Matched to Your
Roadmap
Cypherox structures each engagement around three questions: how defined your scope is, how long the work runs and how much delivery control you keep.
Explore Our 4
Engagement Models
Each model splits scope risk, budget control and delivery ownership differently. Start with the one that matches where your project stands today.
Dedicated Engineering Team
A stable Cypherox team works only on your product, keeps context between releases and takes priorities from your product owners every sprint.
- Same engineers across releases and quarters
- Your backlog sets every sprint's priorities
- Add AI, QA or DevOps roles as needs grow
- Product knowledge stays inside one team
Time & Material Model
Billing follows the effort actually spent, so scope can move as you learn. Suited to AI prototypes, discovery work and feedback-driven features.
- Reprioritize work without renegotiating the contract
- Pay for effort that is logged and reported
- Daily reporting with Scrum-based execution
- Start small, then expand or pause capacity
Fixed Cost Delivery Model
One agreed price for a documented scope, paid against milestones. Works best when specifications and integrations are settled before work begins.
- Budget agreed before development starts
- Milestone-based payments tied to deliverables
- Deliverables and acceptance criteria documented
- Change requests scoped and priced separately
Hybrid Engagement Model
Combines models by phase: a fixed cost build for the defined core, then dedicated or effort-based capacity for extensions and production support.
- Fixed price for the part you can specify
- Open capacity for work still being shaped
- Build context carries into later phases
- Commercial terms set per workstream or phase
Side-by-Side
Model Comparison
Eight criteria that usually settle the choice, from how billing works to who runs delivery.
| Criteria | Dedicated Team ★ | Time & Material | Fixed Cost | Hybrid Model |
|---|---|---|---|---|
| Pricing Model | Monthly, per engineer | Billed on actual effort | Fixed price per milestone | Set per phase |
| Scope Flexibility | High, backlog-driven | High, changes anytime | Low, via change requests | Fixed core, open extensions |
| Speed Required | Team assigned in 1-2 weeks | Start once roles are agreed | Starts after scope sign-off | Staged by phase |
| Project Management | Client-led priorities | Shared, sprint by sprint | Cypherox-managed | Split by workstream |
| Cost Predictability | Steady monthly cost | Variable, reported daily | High for agreed scope | Fixed core, variable rest |
| Recommended For | Ongoing product engineering | AI prototypes, discovery | Defined MVPs, migrations | Phased AI programs |
| Action | Build a Team | Start T&M | Get a Quote | Plan Hybrid |
Start Your Engagement in 4 Steps
A short, structured path from first conversation to engineers working in your codebase.
Share Your Requirements
Tell us what you are building, what already exists and your limits on budget, timeline and team.
Review Scope Together
Our engineers assess technical risk and scope certainty, then recommend the model that fits your plan.
Agree Terms and Team
We confirm roles, seniority, milestones or billing basis and the reporting rhythm before work begins.
Onboard and Deliver
Engineers get access to your tools and repositories and the first sprint or milestone starts on schedule.
Engagement Model
FAQs
Common questions from engineering and product leaders deciding how to structure their work with Cypherox.
Yes. One practical path is a fixed cost first release, followed by a dedicated team or time and material once the roadmap opens up. We make the switch at a milestone or sprint boundary, so billing, ownership and handover are agreed before anything changes.
We avoid forcing a fixed price onto unclear scope. A short, effort-based discovery phase lets engineers test assumptions, prototype risky parts such as AI model behavior and document requirements. Once scope settles, the remaining work can move to a fixed quote.
You set sprint priorities and work with the team in your own tools, such as Jira, Slack or Microsoft Teams. Cypherox handles hiring, employment and people management, so your leads direct the engineering work without carrying the overhead of a larger in-house team.
It depends on how proven the use case is. Early agent work, where evaluation results shape the design, fits time and material. Once model behavior, integrations and guardrails are documented, a fixed cost build works. Production AI systems that need ongoing tuning suit a dedicated team.
Not Sure Which Model
Fits? Let's Scope It
Tell us what you are building and where the project stands today. A Cypherox engineer will review your requirements, flag scope risks and recommend an engagement model and team shape before you commit.