IEXO
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Everything it takes to put AI into production

One accountable lead on every engagement, covering what AI does, what it runs on and what's worth building.

One system, one result

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Route this invoice?Matched to PO-2291. Sent to finance for approval.

AI agents and automation

IEXO Intelligence

AI agents that do real work inside your operation: reading documents, resolving requests, reconciling records and answering customers, with people in control.

  • AI agents for operations
  • Document AI
  • Voice and WhatsApp agents
  • Managed agent operations
Explore Intelligence
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Platform status99.9%
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Data, integration and AI infrastructure

IEXO Systems

The data, integration and infrastructure AI needs to work safely and affordably, built on the core banking, ERP and CRM systems you already run.

  • Data readiness and platforms
  • Core-system integration
  • AI infrastructure and cost
  • Governance and security engineering
Explore Systems
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Applied research and evaluation

IEXO Labs

Prototypes, evaluations and research on local data and languages, so every AI investment rests on evidence.

  • Prototype sprints
  • Model evaluation and benchmarking
  • Governance toolkits
  • Research partnerships
Explore Labs

Four stages, each with a fixed output and a decision point. You only continue when the evidence says it's worth it.

  1. 01

    Assess

    AI Readiness Assessment · 2–3 weeks

    We map your processes, data and systems, and find where AI pays back first.

    You getA prioritised list of use cases tied to business metrics, a readiness review of your data and systems, and a costed roadmap.

    Fixed scope and fee

  2. 02

    Prototype

    Prototype Sprint · 2–4 weeks

    We build a working prototype on real or representative data, then test it against agreed success criteria.

    You getA working prototype, an evaluation report and a clear go or no-go decision.

    Fixed scope and fee

  3. 03

    Integrate

    Integration Build · 6–16 weeks

    We take the system to production: integrated with your systems, secured, evaluated and documented.

    You getA production system your team can rely on, with audit trails, runbooks and a handover or run option.

    Fixed phases with success criteria

  4. 04

    Operate

    Managed AI Operations · Ongoing

    We run, monitor and improve your AI systems under an agreed service level.

    You getReliable operation, regular evaluations, cost control and measurable improvement over time.

    Monthly retainer; usage or outcome component where we control the measurement

What we need from you

An executive sponsor

Someone who owns the business outcome and can make decisions quickly.

A process owner

The person who knows how the work is done today, and where it breaks.

Access to data and systems

Secure, scoped access agreed in the first week.

A decision rhythm

A short weekly check-in to review progress and decide next steps.

Governance in every engagement

Success defined up front

Every engagement starts with the business metric we'll move and how we'll measure it.

Human approval by design

We design who approves what, and what AI must never do on its own.

Evaluated before go-live

Accuracy, safety, bias and cost are tested against agreed criteria.

Audit trails

Every action is logged and explainable.

Data-flow review

Personal data handling is reviewed under the laws that apply to you.

Handover or run

Documentation and runbooks, or Managed AI Operations.

Technology we build with

We're model-neutral. We choose for each task on accuracy, cost, speed and data requirements, behind a portable model layer, so your systems never depend on one AI vendor and costs stay predictable as volume grows.

AI models

  • Anthropic Claude
  • OpenAI GPT
  • Google Gemini
  • Meta Llama
  • Mistral
  • Specialist speech and language models

Cloud and hosting

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Local colocation and private hosting

Business systems

  • Finacle
  • Oracle Flexcube
  • Temenos T24
  • SAP
  • Microsoft Dynamics 365
  • Odoo
  • Salesforce
  • Microsoft 365

Channels

  • WhatsApp Business
  • USSD
  • Voice and IVR
  • Web and mobile apps
  • Email

Product names and trademarks belong to their owners. Listing a technology means we build with it; it doesn't imply endorsement or partner status. We'll name a partnership only once it has been granted.

Common questions

How much does an engagement cost?

It depends on scope. The AI Readiness Assessment and Prototype Sprint are fixed-fee, so you know the cost before you start. We quote after a first call and never start open-ended work without agreed success criteria.

How long until something is live?

A prototype typically takes two to four weeks. A production integration usually takes six to sixteen weeks, depending on your systems and approvals.

Which AI models do you use?

Whichever fits the task best on accuracy, cost and data requirements: Claude, GPT, Gemini or open models. We build a portable model layer so you aren't locked into one vendor.

Is our data safe?

We review every data flow under the data-protection laws that apply to you, such as the GDPR or the NDPA, use least-privilege access, keep environments separate and agree what data may leave your systems before any build starts.

Who owns what you build?

You own the deliverables we build for you. IEXO keeps its pre-existing tools and accelerators and licenses them to you for use in your system. Final terms are set in each contract.

What happens after launch?

You can take the system over with full documentation and runbooks, or we run it for you under a Managed AI Operations agreement with service levels, evaluations and cost control.

Do we need perfect data first?

No. The Assess step tells you what's good enough to start, and IEXO Systems fixes what's needed as part of the build.

Find where AI pays back first.

Book a 30-minute discovery call. You'll leave with the two or three opportunities worth starting with.

Book a discovery call