Enterprise AI Transformation

Legacy Tech Modernisation

From a cost center to a competitive growth engine

Your agents are only as useful as the systems they can reach. Most enterprises run on a core that was never built for real time data, or for software that acts on its own. We modernise that core step by step, so AI can work on top of it and your technology bill goes down instead of up.

Enterprise Technology Development & Managed Services

Growth-Hacked Technical Delivery with Fractional CTO Muscle

At Agentics, we don’t just strategize. We build, integrate, and optimize the technology that transforms businesses into category leaders.

Scalable systems, smart integrations & continuous innovation to reduce TCO, fuel operational excellence at scale and dominate your category:

Most "transformations" fail at execution. We fix that with:

• Zero-Gap Implementation – From first line of code to global rollout

• Always-On Optimization – Systems that improve themselves via AI/analytics

• TCO Compression – Architecture designed to reduce costs over time

The short answer

What is legacy tech modernisation?

What is legacy tech modernisation?

What is legacy tech modernisation?

It’s updating the older systems your business runs on so they can handle real time data, cloud services and AI. It rarely means replacing everything at once. Most of the value comes from opening up old systems, moving the right workflows to modern platforms, and retiring what no longer earns its keep.

Our approach

Modernise in waves. Never a big bang.

Modernise in waves. Never a big bang.

Modernise in waves. Never a big bang.

Rip and replace projects are where budgets and careers go to die. We take a calmer route. Keep the business running, put value on the table early, and retire legacy only when something better is already working.

01

01

Wrap

We put APIs and an agent layer around your existing systems. Agents can read and act on legacy data from week one, and nothing underneath has to change yet.

Example. An agent layer beside SAP that reconciles invoices without touching the core.

02

02

Extend

High value workflows move to modern cloud services. Agents work across old and new systems at the same time, so users never feel the seams.

Example. Customer service moves to a cloud contact centre while orders stay in the ERP.

03

03

Replace

Once the new path is proven, the old system is retired in a planned cutover. You stop paying for what you no longer need.

Example. A custom billing module switched off after 18 months of parallel running.

Each wave is scoped to pay back on its own. Many clients fund the next wave from the savings of the last one.

End to end technology execution engine

End to end technology execution
engine

Elastic architecture plus AI ops. Scaling without 3AM alerts.

Elastic architecture plus AI ops. Scaling without 3AM alerts.

Elastic architecture plus AI ops. Scaling without 3AM alerts.

Transform technology from a cost center to your competitive growth engine. Two things make that happen. A delivery team that builds for growth, and senior technical leadership that keeps it on course.

PILLAR 01

Growth hacked technical delivery

We build with growth in mind from the first sprint. Every system we touch should help you sell more, serve faster or spend less.

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Conversion and engagement mechanics built into apps and journeys

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Systems integrated into one data graph that agents can act on

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Agentic feedback loops that keep tuning performance after go live

PILLAR 02

Fractional CTO muscle

Senior technology leadership when you need it, without a full time executive hire.

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Ownership of the technology roadmap and architecture

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Vendor selection and contract reviews

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Engineering standards, security and delivery governance

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A steady hand in board and investor conversations about technology

Services

Technology execution engine

Technology execution engine

Technology execution engine

Five capabilities, one team. Pick the one you need, or bring us in across the stack.

Digital engineering

Your disruption factory

Web and mobile apps with growth mechanics built in

Enterprise systems integrated so they share data cleanly

QA that tests against real world load and failure

Digital experience

Revenue generating UX

Composable CMS, CRM and AI for one to one journeys

Agentic commerce stores that learn from every visit

Digital workplace tools that make your own teams faster

AI that works

Not just demos

Voice and virtual agents that handle customer cases end to end

Forecasting models for demand and supply shocks

Systems that test and tune themselves in production

Cloud and DevOps

Scale without pain

Cloud migration and self healing Kubernetes clusters

Security as code, built into every layer

FinOps so cloud costs stay in check as usage grows

Data and analytics

Your new IP

Real time data platforms with an AI layer on top

Self service BI that frontline teams can query in plain language

Data products you can reuse, share or sell

Not sure where to start?

Our readiness assessment scores your technology stack as one of five pivots and shows what to fix first.

What clients get

Faster delivery. Lower running costs.

Faster delivery. Lower running costs.

Faster delivery. Lower running costs.

40%

40%

Faster time to market compared with traditional development

20 to 30%

20 to 30%

Lower total cost of ownership over three years

100%

100%

Client retention on ongoing optimisation work

Agentic AI x ERP

Modernise around your ERP, not through it

Modernise around your ERP, not through it

Modernise around your ERP, not through it

Most of your core data lives in the ERP, and replacing it is a multi year bet. Our agent layer works beside SAP, Dynamics and other ERPs today, so you get the benefits of AI now and modernise the core on your own timeline.

Legacy tech modernisation, answered

What is legacy tech modernisation?

Legacy tech modernisation is updating the older systems your business runs on so they can support real time data, cloud services and AI. It rarely means replacing everything. Most of the value comes from opening up old systems, moving the right workflows to modern platforms and retiring what no longer earns its keep.

Do we need to replace our ERP before we can use agentic AI?

No. Agents can work beside SAP, Microsoft Dynamics and other ERPs through APIs and an integration layer. You get value from AI first, then modernise the core in planned waves, often funded by the savings the agents create.

How long does legacy modernisation take?

The first wave, opening up core systems so agents and new apps can use them, usually takes a few months. Full modernisation of a large estate runs over several years in waves. Each wave is scoped to pay back on its own, so you are never waiting years for value.

How does modernisation reduce total cost of ownership?

It cuts what you pay to keep old systems alive. Fewer licences, less custom code to maintain, less manual work moving data between systems, and cloud costs managed with FinOps. Savings usually grow over time as more legacy is retired.

What is a fractional CTO?

A fractional CTO is a senior technology leader who works with you part time. They own the technology roadmap, architecture, vendor choices and engineering standards, without the cost of a full time executive hire.

Why does modernisation matter for agentic AI?

Agents are only as useful as the systems they can reach. If core data is locked in an old system with no APIs, an agent cannot read it or act on it. Modernisation gives agents clean data and safe ways to take action.

Tell us what’s holding your stack back

One system that nobody wants to touch. A cloud bill that keeps climbing. An AI pilot that can’t reach the data it needs. Tell us, and we’ll tell you honestly how we’d fix it.