AI Adoption
Get more value from your AI investment. Sii integrates AI into your teams’ everyday workflows to accelerate delivery, reduce repetitive work, and lower costs - with clear responsibilities and quality checks.
FROM INDIVIDUAL AI USE TO A CONSISTENT WAY OF WORKING
AI adoption means making AI part of how teams work, with the skills, responsibilities, and quality checks needed to use it effectively.
According to Gartner, 57% of CIOs face pressure to improve productivity, while only 48% of digital initiatives meet or exceed business targets. Getting value from AI takes more than giving people access to tools. Teams need to know where to use AI, how to check its work, and who is responsible for the results.
TURN AI ADOPTION INTO BUSINESS VALUE
Sii reviews how your teams work and identifies where AI can add value. We adapt workflows, train people, and set clear rules for AI use. We then measure the results before extending successful practices to more teams. For your organization, this means:
Lower AI cost per task
Get more value from your AI budget. We help teams reuse prompts and context, select the right tools and models for each task, and reduce unnecessary usage through shared resources and clear working practices.
What we measure: AI cost per completed task.
Faster delivery
Shorten delivery cycles by improving the entire workflow. We help teams reduce unnecessary steps, waiting time, handovers, and apply AI where it makes a measurable difference.
What we measure: Time to market and cycle time.
Quality under control
Make AI part of your workflow with clear responsibilities and review criteria. We help teams define which tasks AI can handle independently and which require human verification, reducing rework and keeping quality under control.
What we measure: AI output accepted on first attempt, defects.
More time for expert work
Free up your specialists to focus on decisions and complex problems. We integrate AI into routine tasks such as preparation, summaries, and documentation, and adapt team workflows to make effective use of the time saved.
What we measure: Share of team time spent on repetitive work.
HOW WE WORK
Sii combines expertise in organizational change and practical AI adoption to improve how teams work. We assess current workflows, redesign tasks and responsibilities, and embed AI into daily routines. We measure the impact on delivery time, quality, and cost before scaling proven practices across the organization.
ONE APPROACH BUILT AROUND YOUR INDUSTRY
Every industry faces a different challenge with AI. We help you turn adoption into everyday practice — with workflows, controls, and measures of success that fit your business.
Banking & Insurance
Bring oversight into everyday work as AI adoption grows. Build auditable decision trails, strengthen AI literacy across delivery teams, and make human accountability part of the process.
Pharma & Life Science
Use AI to support requirements, documentation, and traceability while maintaining the controls your environment demands. Make change manageable, reviewable, and aligned with compliance.
Manufacturing & Automotive
Help engineering and IT teams adopt AI through shared practices. Make knowledge easier to access across hardware and software teams, with clear quality gates to guide delivery.
Retail & FMCG
Use AI to clarify requirements, support decisions, and improve handovers between business and IT. Keep teams aligned so ideas move more smoothly toward market.
Media & Telecom
Set clear standards for AI-assisted work as content and change volumes rise. Define where AI can work independently, where human review matters, and how to measure rework.
WHERE TO START
You can buy each service on its own. Most clients start with the AI Adoption Sprint.
We work with the tools your teams already use: Jira and Confluence · Microsoft 365 Copilot · Azure DevOps · Claude Code
New roles for the AI era
Team & cross-team — Team Coach / AI Adoption Coach / AI-Empowered embeds AI in the team's daily rituals and workflows.
- Evolution of the Scrum Master / Agile Coach role, running the diagnose → redesign → embed → measure loop with the team
- Owns adoption metrics: rework, time-to-ready, AI usage patterns
- Coaches working agreements and human-in-the-loop checkpoints into existing ceremoniesRisk-based test selection – regression scope is selected based on risk and the impact of changes
Agile & AI Adoption Lead owns AI adoption as a business outcome, not a project.
- Builds governance, guardrails and escalation paths that scale across teams
- Aligns the adoption roadmap with business outcomes, budget and risk appetite
- Represents adoption at leadership level and coaches executives through the change
AGILE CASE STUDIES
MEET OUR AGILE TEAM
AGILE NEWS & PROJECTS
How to achieve business agility? SAFe success patterns and real-world case studies
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How to achieve business agility? SAFe success patterns and real-world case studies
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Retrospectives involving all team members
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Expert talk: All The Greatness of SAFe® 6.0
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Agile By Example 2023 – how was it and what was discussed?
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Innovation Under Control: Insights from Atlassian Team for Regulated Industries
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Best practices for Business Analysts in Agile
Read moreWHAT YOU NEED TO KNOW
Read out FAQ
A licence does not change how people work. If you have had AI tools for months and delivery speed and quality are the same, the problem is the way of working, not the tool. That is what we change.
With the AI Adoption Sprint. You get your maturity level, prioritized use cases, risks, an adoption backlog and the metrics we will track. Then we change workflows team by team and measure the result.
Changes in team behavior usually show in 4 to 8 weeks. Time to market and cycle time improve later, when new habits are stable.
It lowers the cost per task. Teams stop repeating prompts and context and stop using expensive models for simple work. We track AI cost per completed task from the start. Infrastructure and model costs are handled by Sii’s AI Competency Center.
Training gives people skills. Without changes to roles, workflow and metrics, they go back to old habits. We change the way of working and measure the effect on a real process.
Yes. Teams work with clear rules: what AI can do alone, when a person must check, how to escalate and how decisions are logged. AI tools run only in your approved environment. This also covers AI literacy, required by the EU AI Act since February 2025.
Yes, and we recommend it. The first team gives you proof of value and a plan for the next steps before you invest more.