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Agentic enablement with Flowline
The engine behind your agentic enterprise
Flowline automates the most time-consuming parts of enterprise data and AI transformation. It migrates legacy estates, surfaces business context, and produces an AI-ready platform at a fraction of the time and cost of a traditional consulting engagement.
The three layers every enterprise AI project depends on
Enterprise AI projects succeed or stall depending on what sits beneath the agent. To thrive in the era of agents, your enterprise needs three layers:
- Modern data platform that is fast, governed, and built for AI workloads
- Business context layer that gives agents a structured understanding of your organisation's own concepts and metrics
- Agent layer that can reason correctly over both
Most enterprises arrive with the third layer already in mind and the first two still on legacy infrastructure.
Flowline closes this gap, rapidly modernising the platform, reverse-engineering the business context, and handing AI agents something worth working with.
Modernisation as software
AI-native automation for the heavy lifting of modernisation. Each product bundles deterministic heuristics, specialised AI agents, and the lessons from 70+ enterprise engagements.
ETL modernisation
Flowline crawls your legacy ETL estate, maps every dependency, converts your pipelines to dbt and Fivetran, and reconciles the data row by row. What typically takes 12 to 18 months of manual engineering takes weeks.
Business ontology
As Flowline reads and converts your legacy pipelines, it surfaces the business logic embedded in them: the definitions of customers, approvals, revenue, and every other concept relevant to your business.
The output is a structured first-pass ontology. It captures how your organisation has actually been operating, not an idealised version imposed from outside.
That ontology is then refined, validated with your teams, and connected to the semantic layer, giving your agents a governed foundation to reason over from day one.
BI modernisation
Flowline migrates your BI estate onto a semantic foundation built on dbt metrics and Omni. Your dashboards and your agents draw from the same governed layer.
When a stakeholder reads a report and an agent answers the same question, they get the same number, from the same source, using the same definition.
Your agents get a consistent, trustworthy layer to query at scale, and your team gets reporting that reflects how the business actually measures itself.
WHy it works
A tried-and-tested modernisation approach, informed by 70+ real-world enterprise projects.
With the imperative to make AstraZeneca's data AI-ready, we knew we had to modernise and we had to act fast.
The reason I chose Infinite Lambda was because I was really convinced by the narrative. They took us through problems they had solved in the past, and they also gave us confidence about timelines and a fixed-cost contract, which made the journey predictable and risk-free.
The modernisation has allowed us to accelerate clinical trial data submission from 30 days to 2 days and is saving us millions in licence fees.
— Greg Holland, Enterprise Data Director at AstraZeneca
| Capability | Manual rewrite | LLM accelerators | Flowline |
|---|---|---|---|
| Timeline | Manual rewrite12–18 months | LLM accelerators6–12 months | FlowlineWeeks |
| ETL conversion | Manual rewriteFull rewrite, line by line | LLM acceleratorsTrial-and-error, pipeline by pipeline | FlowlineComprehensive, holistic: entire legacy system |
| Validation | Manual rewriteManual, error-prone | LLM acceleratorsNeeds additional tooling | FlowlineRow-level, accelerated, assured |
| Sequencing | Manual rewriteManual, error-prone | LLM acceleratorsNot handled | FlowlineAutomatic: avoids breaking changes and bottlenecks |
| Code quality | Manual rewriteVaries, inconsistent | LLM acceleratorsTranslated, inconsistent | FlowlineBest practices baked in via proprietary agent skills |
| Multi-platform | Manual rewritePer-platform, manual | LLM acceleratorsLLM-training dependent | FlowlinePurpose-built for PowerCenter, IDMC, SSIS, Talend |
| Semantics for AI/BI | Manual rewriteYes (manual) | LLM acceleratorsNo | FlowlineProto-ontology + full semantic model |
| Ongoing management | Manual rewriteHumans, indefinitely | LLM acceleratorsNo | FlowlineAutonomous: Flowline agents manage it forever |
Robust technological foundation
Flowline is built on the leading tools in the modern data stack. We hold top-tier status with each, and our joint work with partners unlocks commercial and technical advantages that benefit our clients directly.
Agentic enablement resources
Working with Infinite Lambda, you tap into practical lessons distilled from over 70 enterprise modernisations. These are working documents your teams and ours can execute against.
Data migration playbooks
The four-stage blueprint behind every Flowline engagement, from discovery through cutover. Includes scoring rubrics, risk frameworks, and cutover runbooks.
Stakeholder
training
Workshops and enablement for executives, product owners, and operations leaders. Build the literacy needed to sponsor, scope, and govern AI initiatives with confidence.
Reference architectures
Blueprints for modern, AI-ready stacks on any open compute platform. Ingestion, transformation, semantic layer, BI, and agents, all accounted for.
Case
studies
Success stories documenting what the estate looked like going in, what came out the other side, and how the transformation has helped the business.
AI that expands human potential
Infinite Lambda’s vision is enabling enterprise AI that expands what people and organisations are capable of.
To make this a reality, we build AI on foundations that are transparent, governed, and designed to last. For our clients, this means teams have more capacity, leaders are more confident, and creativity thrives.
People
move forward
Analysts spend their time on insight, and engineers build new capabilities instead of maintaining old ones.
Teams grow
with the technology
People learn to work alongside AI, develop new skills, and find more creative ways to solve problems.
Leaders stand
behind the output
The technology earns trust and supports strategic decisions in the boardroom.
See Flowline in action
We start every engagement with a Flowline crawl of your infrastructure.
This maps what you have, identifies what needs to move, and gives you a clear picture of the scope and potential of the project before any commitment.