Success is measured in outcomes, not deliverables
Every engagement ends the same way: with numbers. Usage, productivity, quality, decision speed and commercial value, tracked openly from the first week, because that's what you're paying for.
Results
Results our partners have delivered
Engagements our partners led in prior and current roles. Sectors are anonymised; the numbers are theirs.
14 engagements across private equity, banking, asset management, retail, marketing services and digital marketplaces.
AI Technology
analyst agents running on live portfolio monitoring
Monitoring tools connected to semantic search and analyst agents through RAG pipelines and embeddings, so deal and monitoring teams query the portfolio directly instead of commissioning a report.
less research time for analysts on early-stage screening
Market, portfolio and third-party sources amalgamated into one platform, so deal teams could evaluate a prospect without rebuilding the picture by hand each time.
AI tools embedded inside People and Talent processes, not bolted alongside them
AI-enabled tooling built into everyday people processes across EMEA, judged on employee experience and engagement rather than rollout completion.
first generative AI use cases initiated in Finance, Financial Crime and Risk
Started inside a regulated bank, with senior leaders educated on both the potential and the limits before anything was deployed.
Trusted Data
requirements mapped across 16 departments before a line of architecture was drawn
A whole-bank discovery, funded at £0.75M, that became the evidence base for the enterprise data strategy. No assumptions, no vendor-led shortcuts.
core source systems into a governed cloud data stack, built from zero
CRM, finance, IR, tax, HR, portfolio and debt systems through batch, event-driven and streaming ELT into a lake, warehouse, integration hub and visualisation layer, with strategy, board approval and budget from a standing start.
front, middle and back office finally agreeing what a client is
Client, product, portfolio and transaction defined once across Investments, Risk, Finance and Technology, removing the ambiguity that had been distorting performance and regulatory reporting.
core transition sequenced against SM&CR, FCA, PRA and EBA expectations
A seven-year roadmap covering data architecture, cloud and SaaS replacement, built with departmental heads and vendors and aligned to the regulators from the first draft.
Better Processes
saved per year by scoping the system before buying it
A scoping exercise reset the project approach and structure, taking recurring cost out of global payroll integration while digitalising the function.
portfolio KPI reporting, replacing a manual monthly cycle
Fully automated performance reporting gave the C-suite an immediate snapshot across a diverse portfolio, improving MI and regulatory reporting speed and accuracy at the same time.
operating model designed to fit through an IPO and later through acquisition
Defined during the spin-out from the parent company and carried through the acquisition, with the business model redesigned as the business changed shape twice in three years.
People & AI Learning
employees across 15 countries onto one platform, and actually using it
Co-led a €3.5M global transformation delivering Workday and redesigned processes, accountable for organisational alignment, change management and budget. Adoption was a workstream, not a hand-off at go-live.
deal team members onboarded onto new analytics tooling, with usage tracked
Virtual training, curated content and usage monitoring turned a tooling rollout into measured adoption across the firm.
reduction in time to hire, through smarter internal mobility and AI-assisted tooling
Matched sector-leading hiring efficiency whilst scaling headcount by over 300 people year-on-year, without increasing agency dependency.
What we measure
The four dials on every engagement
Productivity
Time returned to the team: hours of manual work removed per week.
Quality
Fewer errors, more consistent output, answers people trust.
Decision speed
From question to decision in hours, not weeks.
Commercial value
Revenue supported, cost removed, capacity created.
Get in touch
Tell us where AI is stuck in your organisation, or ask for an AI Opportunity Scan and we’ll show you where to start. Or email hello@datagaia.io.