Choosing an engagement
Engineering decision guides
Choose an engagement by the responsibility your team needs covered. These guides compare technology leadership, delivery capacity, ongoing care, and the decisions behind production AI.
Fractional CTO vs full-time
Compare decision volume, people management, daily availability, and the transition to an internal leader.
Read Fractional CTO vs full-timeFractional CTO vs interim CTO
Ask whether someone must run the team every day starting now, then choose full-time interim cover or a part-time remit.
Read Fractional CTO vs interim CTOFractional CTO vs fractional VP of Engineering
Ask whether work waits on direction or on delivery, then choose the CTO remit, the engineering remit, or both in order.
Read Fractional CTO vs fractional VP of EngineeringFractional CTO vs technical consultant
Ask whether you need a decision owned or a question answered, then choose ongoing leadership or bounded advice.
Read Fractional CTO vs technical consultantFractional CTO vs tech agency
Separate technology judgment from build capacity, and agree who directs and accepts outside delivery.
Read Fractional CTO vs tech agencyFractional CTO vs Forward Deployed Engineers
Decide whether work is waiting on technology decisions or implementation inside your environment.
Read Fractional CTO vs Forward Deployed EngineersWhen a fractional CTO engagement should end
Ask whether the remit is finished, outgrown, or drifting, then end it, change it, or keep it on purpose.
Read When a fractional CTO engagement should endTechnical due diligence readiness
Decide what to fix and what to disclose before an investor, acquirer, or enterprise review, and who answers the technical questions.
Read Technical due diligence readinessForward Deployed Engineers vs staff augmentation
Compare embedded implementation with additional engineers working under your plan and management.
Read Forward Deployed Engineers vs staff augmentationForward Deployed Engineers vs consultants vs systems integrators
Ask whether you can write the statement of work yet, then choose who should do the work now.
Read Forward Deployed Engineers vs consultants vs systems integratorsProject-based vs fractional Forward Deployed Engineers
Ask whether you can name the result that ends the work, then choose a project, a recurring part-time embed, or a hire.
Read Project-based vs fractional Forward Deployed EngineersVendor Forward Deployed Engineers vs a vendor-neutral partner
Ask whether the platform choice is settled, then choose whose engineers build it and keep the exit in your hands.
Read Vendor Forward Deployed Engineers vs a vendor-neutral partnerManaged support vs project warranty
Distinguish qualifying defects from continuing operations, maintenance, and new delivery.
Read Managed support vs project warrantyRescue or rebuild an AI-built MVP
Review an AI-built product first, then keep, harden, or replace each part and name who runs it.
Read Rescue or rebuild an AI-built MVPRefactor, rewrite, or wrap a legacy system
Choose how to modernize a system the business still runs on, starting with what must not break.
Read Refactor, rewrite, or wrap a legacy systemBringing AI coding agents into an existing engineering team
Set the rules, pilot on real work, keep review as the gate, and decide on evidence whether to widen or stop.
Read Bringing AI coding agents into an existing engineering teamWhy AI proofs of concept fail to reach production
Review evaluations, permissions, integration, fallbacks, and ownership before relying on an AI workflow.
Read Why AI proofs of concept fail to reach productionHow to contract AI development work
Choose fixed price, time and materials, or outcome-based terms, and accept AI features against an agreed test set.
Read How to contract AI development workManaged support vs AI operations
Ask whether anyone would notice worse answers, then name owners for classic support and for AI-specific operations.
Read Managed support vs AI operationsIf the gap spans several responsibilities, discuss your situation with UCS.