FinDataOps
Turn cloud, data and AI spend into predictable business outcomes.
Do you know that:
Source: Gartner
Source: techmonitor
We help organisations regain visibility over cloud and data spend, improve forecast accuracy, and embed governance directly into delivery workflows. First decision-ready insights are typically delivered within 10 working days.
Typical challenges we solve
Recurring forecast misses and budget surprises
Baseline-driven forecasting with controlled variance
Savings claimed but not proven
Verified financial impact measured against an agreed baseline
Frequent unplanned cost volatility and reactive escalations
Driver-based cost control with reduced variance
AI workloads scaling without economic control
Defined unit economics and clear cost-to-value linkage
Our outcome-based model will provide you with financially guaranteed efficiency of the solution and predictability of delivery.
Our outcome-based model will provide you with financially guaranteed efficiency of the solution and predictability of delivery.
Where FinDataOps creates impact
Where FinDataOps creates impact
Cloud financial governance
Tagging, allocation, forecasting, budget ownership and multi-account control.
Data platform efficiency
Query optimisation, lifecycle management, storage design and workload behaviour modelling.
AI cost predictability
Training, inference and experimentation cost visibility aligned with business value.
Design predictable growth across cloud, data and AI
Whether you need quick insight into cost drivers or a full optimisation roadmap, FinDataOps follows the Triple-A model and adapts to your business priorities.
Analyse data storage, processing and workload behaviour
Map allocation and tagging maturity
Identify inefficiencies and volatility drivers
Deliver first insights within 10 days
Full diagnostic within 3-4 weeks
Workshop with business and technical stakeholders
Prioritised optimisation roadmap
Governance model and guardrails definition
Unit economics framework
Typically 2-4 weeks depending on readiness
Embed guardrails into workflows and pipelines
Refactor high-cost patterns
Introduce showback / chargeback models
Deliver verified savings within 4-12 weeks
Value we delivered
A seamless migration and 72% cost reduction, within a 20-day timescale
Decreasing the lead time for changes from 2 months to 1 day and saving 50% of the client’s cloud costs
Proactively creating AWS Cloud saving plans for the client who now saves up to 50% a month
FAQ
FAQ
Why FinDataOps now?
Because data platforms and AI have shifted cost drivers from infrastructure to workload behaviour. Without linking cost to queries, pipelines, products and models, growth becomes financially unpredictable.
Who is FinDataOps for?
For organisations with significant cloud and data spend (typically £25-30k+ per month on cloud data services) that experience one or more of the following:
- struggle to explain cost drivers,
- miss forecasts,
- lack clear ownership of data costs,
- scale AI or data workloads without economic control.
How is this different from FinOps?
FinOps focuses primarily on cloud infrastructure costs. FinDataOps extends that model to data platforms and AI – integrating financial governance with data lifecycle, workload behaviour and unit economics.
How quickly will we see results?
- First insights: within 10 working days
- Full diagnostic: 3-4 weeks
- Verified savings: typically within 4-12 weeks
Is this a tool or a consulting engagement?
It is a structured, repeatable framework delivered as a service. The first two phases are fixed-price; implementation is success-based and tied to verified outcomes. It is not a software product, but a structured consulting framework delivered with measurable outcomes.
Start your transformation today
Thank you!
Book a short meeting to assess your readiness for FinDataOps and explore what savings and insights your data can reveal.
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