The work between strategy and launch is where most projects quietly go wrong
A build that went well but solved the wrong problem because the requirements were incomplete. A team that's agile on paper but where every decision still needs five approvals. A project plan that looked solid in January and hasn't been updated since. Three workstreams running in parallel with nobody able to explain how they connect or which one is behind.
Project delivery and business analysis tend to get treated as overhead rather than disciplines. When they're done well, they're invisible. When they're missing or underinvested, they're usually the reason everything else takes longer, costs more, and lands differently than expected.
Two disciplines that make every other investment land
Project management and business analysis can be embedded into a larger engagement or brought in as standalone services. Either way, the rigour is the same.
Project management
End-to-end project delivery
Initiation, planning, execution, monitoring, and closing. Scope management, risk tracking, dependency mapping, stakeholder communication, and the day-to-day discipline that keeps complex programmes on track and on budget.
Business analysis
Requirements & solution design
Stakeholder interviews, requirements elicitation, process mapping, gap analysis, and solution design documentation. The work that ensures what gets built is what the business actually needs, validated before development starts.
Engagement model
Integrated PM/BA
Project managers and business analysts embedded in your delivery teams, working alongside developers, designers, and architects. Delivery discipline as part of the team, not a parallel reporting line.
Engagement model
Standalone outsourced services
Dedicated PM and BA capacity provided as a managed service, for organisations that have the technical teams but need experienced delivery leadership and structured requirements work without a permanent hire.
Methodology
Methodology design & coaching
Assessment of your current delivery practices, methodology recommendation, and coaching to embed the approach that fits your organisation's culture, compliance requirements, and pace of change. Not every team needs scrum and not every project fits waterfall.
Tooling
PM tooling & infrastructure
For smaller engagements, project management tooling is included at no additional cost. For larger programmes, tool selection guidance, configuration, and reporting setup that gives stakeholders visibility without creating admin overhead for the delivery team.
Let’s talk about milestone adherence, scope stability, and stakeholder satisfaction
Across waterfall, agile, and hybrid engagements in manufacturing, healthcare, insurance, finance, and e-commerce.
60+
projects delivered across industries
Spanning enterprise platform builds, migrations, and multi-year transformation programmes.
92%
on-time delivery rate
Across all engagement models and methodologies over the past three years.
Methodology should serve the project, not the other way around
Some projects need the structure and predictability of waterfall: fixed scope, sequential phases, formal sign-offs at each gate. Others need the flexibility of agile: iterative delivery, evolving requirements, frequent reprioritisation. Most enterprise programmes need elements of both, and the real challenge is knowing which elements.
The worst outcomes tend to come from applying one methodology dogmatically across an entire portfolio, or from calling everything agile while running it like waterfall with standups.
Methodology flexibility
Waterfall, scrum, kanban, SAFe, and hybrid approaches, selected and configured based on project characteristics: regulatory constraints, team distribution, stakeholder cadence, and how stable the requirements are likely to be.
Delivery governance
Risk registers, dependency tracking, status reporting, change control, and escalation frameworks. The mechanisms that give leadership confidence without micromanaging the delivery team.
Good business analysis doesn't just capture requirements — it prevents the expensive ones from being wrong
The highest-cost defects in any project aren't code bugs. They're requirements that were misunderstood, assumed, or never captured in the first place. A feature gets built to spec, but the spec didn't reflect the actual process. An integration is designed against documentation that turns out to be two versions behind reality.
Business analysis catches these problems early, when they're inexpensive to fix, by investing the time to understand the business domain, map the processes, validate assumptions with the people who live in the detail, and document requirements in a way that developers, testers, and stakeholders can all hold each other accountable to.
How delivery and analysis integrate into your programme
Whether embedded or standalone, the work follows the same discipline: understand the problem before solving it, plan before building, and maintain visibility throughout.
Discovery & requirements
Stakeholder mapping, business process analysis, requirements elicitation, and documentation. A shared understanding of what needs to be delivered, what the constraints are, and what success looks like.
Planning & estimation
Work breakdown, effort estimation, resource planning, dependency mapping, and risk assessment. A delivery plan that's realistic rather than optimistic, with contingency built in where the unknowns are highest.
Execution & monitoring
Sprint management or phase-gate delivery, depending on methodology. Status reporting, risk and issue management, scope control, and stakeholder communication running continuously throughout.
Closure & handover
Lessons learned, documentation, knowledge transfer, and formal closure. For ongoing programmes, transition planning and continuity arrangements so institutional knowledge doesn't leave when the engagement ends.
What your project plan isn't telling your stakeholders
Status reports that say "on track" until suddenly they don't. Risk logs that exist but never get reviewed. Dependency maps that were drawn once and forgotten.
The work speaks for itself
Every project here started with a conversation about a business problem, not a technology wishlist. Have a look at how we think, how we work, and what our clients walked away with.
Get in touch
We start by understanding your goals, then build a clear AI roadmap tailored to you—selecting the right tools, making your data work for you.
Sven Leibner