Outcome Based Engagement
Lower delivery costs and improve speed, quality and predictability. Sii takes responsibility for your project or service. We combine engineering expertise, coordinated AI agents and our AI-native delivery methodology to meet agreed targets.
“Companies are looking beyond individual productivity gains. They want AI to improve the cost, quality and predictability of entire services. That shifts attention to how the service is delivered, who owns its performance and whether the results actually improve.”
Marcin Laksander, AI Transformation Lead
Achieve better business results
Outcome-Based Engagement (OBE) is a delivery model in which Sii takes responsibility for an agreed project or IT service and its measurable outcomes, rather than only providing individual specialists or capacity. Using AI-native delivery across the SDLC, Sii helps reduce costs, accelerate delivery and improve quality and predictability. You get clear targets and measures of success agreed upfront, with less day-to-day delivery management and lower risk that the expected benefits will not be achieved.
Lower run and delivery costs by up to 30%*
Sii uses AI to reduce repetitive engineering work and adapts reusable tools to your project. Engineers check the results to help avoid rework. We assess potential savings for the agreed scope, including the cost of preparation, review and AI usage.
Give Sii responsibility for delivery
Sii takes responsibility for the agreed project or service, manages the team and reports on cost, progress and quality. You spend less time coordinating day-to-day work, while your team retains key business decisions and approvals.
Make vendor transitions faster and more predictable
AI helps Sii organise available documentation, code and service history. Our experts verify the findings, identify knowledge gaps and agree the handover plan. This reduces repeated discovery work and helps maintain service continuity during the transition to Sii.
Improve quality across delivery
Our experts coordinate AI agents across connected engineering tasks, with separate agents reviewing outputs and automated checks verifying the results. Engineers validate the work, and authorised people approve key changes. Findings from delivery help improve instructions, tests and checks.
*Potential savings are assessed for the agreed scope against its current cost or, for a new project, an agreed cost estimate. The result depends on the work suited to AI, preparation and tool costs, AI adoption maturity, the contract model and client-specific requirements.
How does Sii implement Outcome Based Engagement?
Through Assess – Transform – Deliver, we establish the business case, prepare and test the way of working, then manage delivery against agreed targets. The Sii AI-native Delivery Methodology guides each stage, giving you clear results and a basis for the next decision.
Identify where AI will deliver value before you invest
We assess where AI can reduce costs, speed up delivery or improve quality, and what may limit its use. For an existing service, we measure current performance; for a new project, we document the planning assumptions. Our Delivery Managers and Solution Architects agree the scope, targets and proposed way of working with you.
You receive: A defined scope and delivery plan, with a business case covering expected benefits, full costs and agreed measures of success.
What we assess: We review the work, systems, project knowledge and team skills, together with security requirements and permissions for tools and data. We identify where agents can carry out connected tasks and where engineers need to review results or make decisions. We estimate preparation, tool, training, testing and review costs, and define what must be in place before the proposed process can be introduced.
Enable faster, more efficient delivery with AI
Sii prepares the service for AI-native delivery by integrating AI agents into the client's engineering environment. We connect repositories, configure reusable AI workflows, skills and MCP integrations, and embed automation into CI/CD pipelines. Security, governance and quality controls are built into the process.
You receive: An AI-native delivery setup integrated with your environment, ready to support faster, more cost-efficient and higher-quality service delivery.
We put in place: We adapt Sii's reusable AI assets to your service, connect agents to approved code repositories, documentation and project tools, and configure automated engineering workflows. We integrate these capabilities with existing development and delivery pipelines, establish human approval and quality gates, and validate the setup on selected tasks where needed. The resulting capabilities become part of the ongoing service delivery process.
Achieve measurable results with AI-native engineering
Sii builds, takes over or runs your project or service using the AI-native delivery model established in Transform. AI agents and engineers work within integrated delivery workflows, while we manage execution, monitor performance against agreed targets and continuously improve efficiency, cost and quality.
You receive: Completed project deliverables or an operational service, with transparent performance reporting, agreed SLA/KPI targets and continuous improvements.
How we deliver: We use AI agents and automated workflows across engineering, testing, deployment and maintenance, with human oversight and built-in quality controls. We measure delivery cost, speed, quality and service performance against the baseline or planning assumptions agreed during Assess. Our Delivery Managers remain accountable for delivery, while engineers and architects supervise AI-generated work and critical decisions. We continuously refine workflows, expand effective automation and optimise delivery based on measured results.
When should you use Outcome Based Engagement?
Outcome Based Engagement can be used when you want to improve an existing IT service, transition a service from another provider or start a new project with clear accountability for delivery outcomes.
Improve an existing service
For maintenance, testing, DevOps or ongoing change, Sii can take responsibility for the agreed service and improve the way it is delivered. We assess current performance, apply AI to suitable tasks and track cost, quality and service levels against agreed targets.
Move a service to Sii
When changing providers, Sii plans the takeover and uses AI to organise available code, documentation, tickets and service records. Our experts verify the knowledge, identify gaps and prepare the handover plan. The transition is designed to protect service continuity and make responsibilities clear from the start.
Start a new project or service
Sii plans where AI can support delivery from the start, based on your requirements and constraints. Our team builds the solution or starts the service with agreed checks, human approvals and measures for cost, speed and quality.
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Check out our FAQ
Outcome-Based Delivery is a service model in which Sii takes responsibility for agreed IT service results rather than focusing only on activities or individual resources. Sii establishes a performance baseline with the client, defines measurable KPIs, transforms the delivery model, and continuously manages performance against those measures.
Staff augmentation gives you access to specialists and expert resources, with the engagement centered on their work rather than predefined service outcomes. With Outcome-Based Delivery, Sii takes broader responsibility for how the service is organized, measured, reported, and improved. If you want to retain delivery ownership internally, Power People powered by AI is the complementary model for adding AI-native-ready specialists to your own teams.
Sii and the client first establish the service baseline and agree on relevant success measures. Depending on the service, these may include SLA/KPI performance, cost, quality, delivery speed, predictability, or other service-specific indicators. Reporting and continuous improvement are then built into ongoing delivery.
The model can apply to existing application maintenance, software development, testing, DevOps, IT operations, and change delivery, as well as vendor transitions and new technology initiatives. The exact AI workflows and controls depend on the service context and the client’s governance requirements.
Sii combines organizational, project, and workflow-level controls. Depending on the project, these can include approved enterprise AI tools, access rules, no-prompt zones, quality gates, human approvals, limits on agent permissions, security checks, and audit evidence.
Yes. Vendor transition is one of the identified entry points for the model. AI-supported analysis can help structure knowledge from documentation, architecture, code, backlogs, tickets, logs, and operational history while Sii prepares the target delivery model and governance controls.
No. The proposed approach starts with a selected service or initiative. Sii assesses the baseline and transformation potential first, allowing you to define the business case and measurable outcomes before deciding whether to extend the model further.
Outcome-Based Delivery is designed for organizations that want Sii to take responsibility for service performance and continuous improvement. Power People powered by AI is designed for organizations that keep delivery ownership internally and need specialists or teams prepared to work within their AI tools, workflows, security rules, and governance model.