What we build
The right kind of AI for each problem.
Workflow automations
Take repetitive steps off people’s plates: re-keying, routing, look-ups and report assembly.
AI agents
Agents that complete multi-step tasks across your systems, with people in the loop where it matters.
Conversational assistants
24/7/365 assistants for customers, students or staff, grounded in your own knowledge and systems.
Document intelligence
Extract, check and route information from invoices, forms, applications and contracts.
Predictive analytics
Forecast demand, flag risk early and recommend the next best action.
Integrations
Connect AI to the systems you already run, such as ERP, CRM, ticketing and student systems.
Built on the platform that fits
We choose per use case, on performance, cost, data residency and fit, using native, fine-tuned or third-party models, or a mix.
Who does what
AI platforms provide the models. Jolera turns them into solutions your business can rely on.
The platforms
Foundation models
From Anthropic, Microsoft, IBM, OpenAI and Google
Agent and automation tooling
Including agents generated from Mimica process maps
Cloud and governance services
Hosting, monitoring and model governance tools
What Jolera adds
Prioritization with forecast ROI
Findings turned into a ranked list of use cases
Design, build and integration
Architecture, development and connection to your systems
Testing, governance and security
User acceptance testing, responsible-AI checks and security designed in
Rollout, training and support
Change management, knowledge transfer and ongoing operation
What we need from you
A business owner
Someone accountable for each use case and its results
Subject matter experts
The people who know the work, for design and testing
System access
APIs and environments for the systems AI connects to
Acceptance testers
Users who confirm it works before it goes live
How it works
From validated opportunity to measured result.
Ways to engage
Build one solution, or keep a steady pipeline of them.
Project
Defined build
A fixed scope for one use case or a small set: designed, built, tested and rolled out, then handed over or operated by Jolera.
- ✓Clear scope and timeline
- ✓Best for a first production use case
Managed service
AI Factory as a service
An ongoing team that keeps finding, building, securing and measuring AI improvements, without you hiring a build team.
- ✓A steady pipeline of automations and agents
- ✓Run, secured and measured by Jolera
What you receive
Working solutions, not a slide deck.
How you measure it
Proof · we built it for ourselves first
We built this on our own service desk first. You get the discipline, not the experiment.
109,878
tickets pre-processed by automation
$1.25M
verified savings, 42 live automations
12+ FTE
freed for higher-value work
$2.6M
projected annual savings as it scales
Measured on Jolera’s own service desk. Figures as of October 2026.
Helix AI Build questions
What people usually ask
Do we have to start with Process Intelligence?+
No. If you already know the use case, we can start with design. Process Intelligence helps when you want evidence first, and it gives us a baseline to measure the return against.
How do you choose the AI platform?+
Per use case, based on performance, cost, data residency and how well it fits your existing systems. We can use native, fine-tuned or third-party models, or combine them, and we agree any cost implications with you before building.
Who owns what you build?+
You keep ownership of your data. Ownership of the solutions we build is set out in your agreement with us, subject to the rights of the underlying platform providers.
What’s the difference between a project and AI Factory as a service?+
A project delivers a defined scope. AI Factory as a service is an ongoing team that keeps building, securing and measuring new AI improvements, so you get a steady pipeline without hiring.
What happens after go-live?+
We train your users and hand over documentation, then either transfer the solution to your team or operate it for you. Jolera AI Security protects it in production, and we measure the result against the forecast.
Have a use case in mind? Let’s talk about building it.
In 30 minutes we’ll talk through what you want to build, the systems it touches, and the fastest safe path to production.
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