Integrity
When Data Has to Be Right
Risk
Integrity matters when the cost of being wrong increases.
When decisions affect reporting, investment, automation, or AI, weak data processes stop being acceptable, they become a risk.
Most organisations reach this point when:
- Reports are used externally
- Decisions carry financial consequence
- Automation depends on data accuracy
- Confidence in numbers starts to drop
At this stage, assumptions are no longer enough.
Control
We ensure your data, processes, and outputs are controlled, structured, and defensible.
Every Innovail solution is built to:
- Be understood - not hidden behind complexity
- Be repeatable - not dependent on individuals
- Be tested - not assumed to be correct
- Be governed - with clear ownership and control
Trust
Trust is built when data can be relied on under pressure.
We create that trust by ensuring:
- Accuracy — data is correct and validated
- Consistency — outputs match across systems and reports
- Transparency — logic is visible and understandable
- Security — data is protected and responsibly handled
Action
Integrity is not theoretical.
It directly affects your ability to:
- Trust your reporting
- Defend your decisions
- Scale automation and AI safely
- Operate with confidence
If there is uncertainty in your data,
there is risk in your decisions.
Delivery
We ensure delivery through a structured approach:
Discover
Understand your data, systems, risks, and constraints
Design
Define clear models, structures, and workflows
Develop
Build using controlled, tested, and documented methods
Deliver
Embed, support, and ensure long-term reliability
This is how control is maintained from start to finish.
Ecosystem
All solutions are delivered within the Microsoft ecosystem, using:
- Secure cloud infrastructure
- Role-based access control
- Encrypted storage and authentication
- GDPR-aligned data handling practices
We do not replace internal capability.
We provide an independent layer of confidence that what exists is sound, controlled, and reliable.
Founder & Lead Consultant
Jamie Baker
He works at the point where finance, operations, and data meet, turning complex, unreliable information into clear, trusted insight that supports confident decision-making.
With over 30 years working with business data, Jamie focuses on delivering outcomes that are commercially effective, not just technically correct. His work reflects how businesses actually operate and how decisions are really made.
He combines:
- Financial expertise
- Advanced data, modelling, and automation capability
- Strong operational understanding
This ensures every solution is technically sound, commercially effective, and trusted at decision level.
Qualifications & Background
- Chartered Management Accountant (CIMA)
- AAT Qualified Accountant
- PRINCE2 Qualified Project Manager
- Advanced Excel, Power BI, Power Automate, and SharePoint specialist