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Enterprise Software

Enterprise software that survives contact with the org chart.

Enterprise projects rarely fail on the code. They fail on the integration nobody scoped, the compliance requirement discovered in month five, and the department that was never asked what it needed. Those are the parts we scope first.

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In one paragraph

AGI Software Solutions builds custom enterprise software — operational platforms, internal systems, workflow and data tooling — for organisations whose processes have outgrown the products available to buy. Enterprise programmes typically run $60k–$150k for a single-department system and $150k–$300k+ for cross-department platforms, with integration mapping, permission design and compliance requirements settled before the first sprint rather than discovered during it.

What We Build

The hard parts are not the screens.

At enterprise scale, the difficulty moves out of the interface and into everything around it: who is allowed to see what, which system is the source of truth, and what happens at month-end when all of it runs at once.

Integration

Mapped before it is built

We audit what you already run and where the real source of truth sits, so the integration that derails month five is found in week one.

Permissions

Access designed, not bolted on

Roles, approval chains and record-level visibility modelled in the data layer, where they can be enforced, rather than hidden in the interface.

Compliance

Audit trails as a feature

Who changed what, when, and on whose approval — captured as a first-class part of the system rather than reconstructed from logs when someone asks.

Continuity

Rollout without a big bang

Phased cutover with the old system running alongside the new one until the numbers agree. Nobody has to bet the quarter on a launch date.

Plain English

What counts as enterprise software?

Enterprise software is the systems an organisation runs its operations on rather than the tools individuals choose: platforms that carry multiple departments, enforce real permission boundaries, integrate with the systems of record, and are audited. The defining constraint is not user count — it is that other systems and other teams depend on it being correct.

That dependency is what changes the engineering. A system with four departments upstream of it cannot be rewritten over a weekend, so the architecture has to make change survivable: clear boundaries, versioned interfaces, and migrations that can be rolled back.

Compared

Custom build vs extending the suite you already own

Most enterprises already own something adjacent. This is how we decide whether to extend it or build beside it.

Extend the existing suiteCustom enterprise build
Best forProcesses close to what the suite assumesProcesses the suite cannot express
SpeedFaster to first releaseSlower to start, faster to change later
CeilingWhatever the vendor permitsWhatever the business needs
Upgrade riskCustomisations break on vendor upgradesYou control the upgrade schedule
Total costLicences plus specialist consultantsBuild cost, then hosting and maintenance
Our usual adviceExtend where it fits, honestlyBuild where extension keeps breaking
How We Build It

Five stages from problem to production.

The same process on every engineering project, scaled to the size of the problem.

01

Discovery

We map what the process actually does today, including the parts that live in one person’s head, and what it costs when it goes wrong.

02

Architecture

Data model, integration points, permissions and hosting decided up front, because these are the choices that are expensive to reverse later.

03

Build in slices

Working software every couple of weeks, sequenced so the riskiest piece reaches real users first rather than last.

04

Integrate and harden

Connecting to the systems that hold your data, then security, load and failure testing against realistic volumes instead of demo data.

05

Handover and support

Documentation, a walkthrough for whoever maintains it, and ongoing support if you want it. The repository is yours either way.

Use Cases

Where enterprise software pays off.

The patterns we see deliver, across startups, SMEs and enterprise teams.

Operations

Operational and workflow platforms

Order, dispatch, inspection, maintenance and approval workflows carrying multiple teams, with the exception handling that real operations actually need.

Data

Reporting and decision systems

Reporting that reconciles across the systems feeding it, so finance and operations stop arriving at meetings with two different numbers.

Back office

Internal business systems

HR, procurement, asset and document systems built around your policies instead of a vendor’s assumption of them.

Modernisation

Replacing what has aged out

The system everyone complains about but nobody can switch off, replaced in stages while it keeps running.

Tech Stack

What we build on.

Deliberately boring, widely supported technology. The goal is software your team can still hire for in five years.

Front end

React, Next.js and TypeScript, with server rendering where it earns its keep for speed or SEO.

Back end

FastAPI, Django and Node.js. Python where the work touches data or models, TypeScript where it does not.

Data

PostgreSQL as the default, Redis for caching and queues, and a vector store only when retrieval genuinely needs one.

Infrastructure

Docker and Kubernetes on AWS, GCP, Azure or your own servers. Your cloud account, your bill, your control.

Integration

REST and GraphQL APIs, webhooks, message queues and MCP servers for the systems that need to talk to AI.

Quality

Automated tests, CI on every commit, staged deploys and monitoring wired in before launch rather than after the first outage.

Related Work

Systems we have shipped.

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Warehouse Intelligence

Demand forecasting, OCR-driven receiving and anomaly detection across 14 fulfilment centres.

47% fewer stockouts, 14 warehouses
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One inbox across web chat, email, WhatsApp and Facebook, with AI replies trained on past resolutions.

60% faster replies, 99.95% uptime
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Visual Quality Inspection

Custom-trained YOLOv8 models running on edge devices, replacing manual visual QA so the line can run around the clock.

99.2% accuracy, 38 FPS on the line
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What Teams Say

Hear from the teams we work with.

“We needed a voice agent that could actually qualify leads, not a chatbot pretending to be one. The team shipped a sub-700ms pipeline in 6 weeks. It now handles 5k calls a day.”
Priya RajHead of Growth, Ninjatech
“What sold us was their willingness to put AI engineers and product designers on the same call. We got working prototypes by week two and a production rollout in three months.”
James ThorntonCTO, Allindex
“AGI designed a CRM system tailored to our client management process. It is intuitive, reliable, and has centralized all our communication and history in one dashboard. This has greatly improved client retention.”
Carlos MendesProduct Manager, Qilinlab
Common Questions

Before you get in touch.

How much does enterprise software development cost?

A single-department system with a handful of integrations typically runs $60k–$150k. Cross-department platforms with compliance requirements, migration from an existing system and phased rollout run $150k–$300k and up. Integration count and regulatory scope drive the figure far more than feature count does.

How long does an enterprise project take?

Plan on 4–9 months to a first production rollout for a departmental system, and 9–18 months for a platform replacing something central. We release working software throughout, and the first live users are usually inside three months even on the long programmes.

How do you handle migration from our existing system?

Incrementally. The new system runs alongside the old one, taking one workflow at a time, with data reconciled between the two until the numbers match. Big-bang cutovers are how enterprise projects end up on the news.

Can you work with our compliance requirements?

Yes — and they need to be on the table in scoping, not raised at UAT. We build to GDPR, SOC 2, HIPAA and ISO 27001 expectations where they apply, with encryption, access control, retention rules and audit logging designed in rather than retrofitted.

Do you work alongside our internal engineering team?

Frequently. We can lead the build, work as an embedded part of your team, or take one component while your team takes the rest. If your engineers will own it afterwards, they should be in it from the start.

What happens after launch?

Whatever you want to happen. Most clients keep us on a maintenance and iteration arrangement for the first year; some take it fully in-house at handover. The documentation and walkthrough are the same either way.

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Talk to us about enterprise software.

Tell us what the system would need to do and what it is replacing. We will tell you whether it is worth building and roughly what it takes.

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