Initiative Operational Intelligence
DaytaBrain exists because I realized organizations weren't missing information—they were spending too much time tracking, validating, and reconstructing it before leadership could understand what was happening.
I was brought in to save a project at a large healthcare organization in its fourth year.
The team was at capacity. Leadership wasn't adding resources. The initiative had drifted so far from its original brief that nobody could explain why it had been funded in the first place, because the person who made that decision had left eighteen months ago. The rationale left with them.
I spent nights rebuilding reports, creating presentations, trying to give leadership a picture of something that was already beyond saving. It was making me cry. Not because the work was hard, but because I knew that if anyone had seen what was coming six months earlier, none of it would have been necessary.
That experience became DaytaBrain.
Not a tool to manage tasks. Not another dashboard. The intelligence layer that should have existed alongside everything the team was already using—something that remembers why an initiative exists, continuously monitors how it's performing and what is changing around it, and brings forward what leadership needs to know before the next report explains what already went wrong.
Caran Bradshaw, CEO & Founder
After that experience I kept asking myself one question:
Why do organizations spend weeks proving what many people already suspect?
It wasn't enough to assume I knew the answer. I needed to find out whether this was my experience—or whether leaders everywhere were facing the same challenge.
We interviewed 20 senior leaders across eight countries and eight industries.
We expected to hear different problems.
Instead, we heard the same story repeatedly.
Different industries. Different technology stacks. Same organizational friction.
Teams can spend 20–60 hours per reporting cycle tracking updates, validating information, reconciling different views, and rebuilding the picture leadership needs.
Important changes can begin appearing inside an initiative weeks before leadership has a clear, connected view of what they mean.
Different teams operate from different interpretations of the same initiative.
As people, priorities, and conditions change, organizations can lose visibility into why an initiative was funded, what assumptions shaped it, why decisions were made, and whether the expected outcomes were achieved.
Independent Validation
Before writing the first version of DaytaBrain, we conducted original research with 20 senior leaders across eight countries and eight industries. The findings were later accepted for publication in the PM World Journal. DaytaBrain is built from those findings—not assumptions.
We believe organizations already possess extraordinary intelligence.
It exists inside people, decisions, operational data, assumptions, customer feedback, and everyday execution.
The challenge is not collecting more information.
The challenge is continuously monitoring what is already happening, recognizing what has changed, and helping leadership understand what matters while there is still time to respond.
That's the future we're building.
I didn't start DaytaBrain because I wanted to build AI.
I started it because I watched talented people spend nights and weekends rebuilding confidence in decisions instead of improving them.
I've worked in healthcare, finance, government, retail, and enterprise transformation long enough to know the problem isn't a lack of capable people.
The problem is that the work of monitoring initiatives, connecting what is changing, and rebuilding the context leadership needs is still largely manual and fragmented.
DaytaBrain is what I wish we'd had.
Caran Bradshaw, Founder & CEO
Headquarters
United States
Expanding
Global
Industries
Healthcare, Financial Services, Manufacturing, Public Sector, Enterprise Transformation
Availability
Salesforce Edition
