Hiring delays
Recruitment and onboarding may not align with a project deadline, leaving a temporary capacity gap.
Extend your team with assessed engineers
Engineering staff augmentation
Match engineering capacity to your stack and delivery needs. Agree availability, onboarding, responsibilities, and commercial terms before engineers join your workflow.
Overview
Keep delivery governance within your team
Assess technical fit, repository access, review standards, and onboarding needs. Define the engagement scope, reporting cadence, and knowledge-transfer plan upfront.
Challenges
Delivery needs exceed team capacity
These constraints are useful starting points for scoping priorities and acceptance criteria.
Specialist skill gaps
The team is strong in existing capabilities but lacks the specialist skills needed for a defined project scope — AI engineering, a specific framework, or a domain the team hasn't worked in before.
Variable delivery demand
Sprint peaks, go-live crunches, and seasonal delivery cycles create genuine capacity requirements that don't sustain a full-time role. Hiring for the peak means cost overhead during the trough.
Limited delivery visibility
Unclear scope, review practices, and reporting create delivery uncertainty across team boundaries.
Knowledge loss
A critical engineer's departure takes institutional knowledge — system design rationale, undocumented quirks, vendor relationships — with them. Their replacement needs months to reach equivalent effectiveness.
Inconsistent standards
Without enforced standards, each external engineer leaves a distinct footprint. The codebase accumulates stylistic fragmentation that compounds maintenance cost over time.
Capabilities
Technical fit and accountable collaboration
Scope capabilities around your workflows and validate them against agreed requirements.
Availability confirmed during scoping
Agree start dates after assessing technical fit, candidate availability, and onboarding requirements.
Availability confirmed during scoping
Agree start dates after assessing technical fit, candidate availability, and onboarding requirements.
Delivery
How we deliver
Each stage has defined outputs and review criteria. Scope, dependencies, and timelines are agreed during discovery.
Needs assessment & profile definition
Technical domain, stack specifics, working style preferences, and engagement duration confirmed. Profile requirements documented before candidate identification begins.
What you receive
Engineer requirements and engagement model
Technical domain, stack specifics, working style preferences, and engagement duration confirmed. Profile requirements documented before candidate identification begins.
What you receive
Engineer requirements and engagement model
Use cases
Where this service fits
Select a use case with clear owners, accessible inputs, and measurable outcomes. Validate it before extending the scope.
Additional engineering capacity during high-pressure delivery periods — go-live preparation, backlog clearance, or a fixed launch milestone.
Approach
Delivery priorities
Align implementation decisions with your integration, ownership, and operational requirements.
Technical assessment, not recruiter screening
We assess engineers against domain-specific technical criteria — not CV keywords. Technical capability is validated before candidate presentation.
Visible staffing plan
Confirm candidate availability, assessment steps, and onboarding dependencies before setting a start date.
Agreed engagement terms
Define location, billing, minimum term, and capacity-change notice periods in the engagement agreement.
Defined work-product ownership
Document ownership and usage rights in the agreement, including any third-party materials and license restrictions.
Structured onboarding
Plan environment access, standards alignment, and knowledge transfer with named owners and readiness checks.
Confidentiality and access responsibilities
Agree confidentiality, information access, ownership, and offboarding requirements before work begins.
Teams
Who this is for
A fit for teams with the following needs. Feasibility depends on system access, data readiness, and project scope.
Enterprise IT departments
Project delivery requirements that exceed current team capacity, without the justification to expand permanent headcount.
High-growth technology companies
Business growth outpacing hiring velocity — delivery needs to continue while the permanent team pipeline catches up.
Traditional enterprises with digitalization programs
Internal IT teams with domain knowledge but technical skill gaps in the specific technologies required for a digitalization initiative.
Software development companies
Project commitments that exceed current team bandwidth — additional engineering capacity for contracted delivery obligations.
Post-launch product teams
Products in the operations phase requiring ongoing maintenance and iteration — where a permanent full team would be over-resourced but zero coverage is not an option.
Teams managing multiple parallel projects
Concurrent projects with different technical requirements — flexible augmentation avoids duplicating permanent headcount across separate project teams.
Technology
Technology options
The stack is selected for workload, infrastructure, licensing, and team ownership. Listed technologies are options, not a mandatory bundle.
