Enterprise AI, integrations and software delivery
Build, secure and scale enterprise AI.
Libra helps enterprise teams adopt AI, protect its use, take prototypes to production, connect it to core systems, modernise legacy platforms and add engineering capacity.
Australia-based. International delivery by arrangement.
Technology ecosystems
- AWS
- Microsoft Azure
- Google Cloud
- OpenAI
- Anthropic
- Cloudflare
- CrowdStrike
- Zscaler
- Snowflake
- Databricks
- GitHub
- ServiceNow
- SAP
- Atlassian
- Supabase
- Vercel
Engineering ecosystems Libra works within. Not partners, customers or endorsements.
The challenge
AI ambition is not the bottleneck. Enterprise delivery is.
Your AI pilots cannot clear security review.
Critical workflows still depend on spreadsheets, brittle plugins and people copying data between systems.
Your engineering backlog grows faster than your team can ship.
Sounds familiar?
Libra brings AI enablement, security thinking, enterprise integration, software modernisation and delivery capacity into one engineering partner.
The goal is simple: less manual work, a faster path to production, governed AI usage, fewer integration bottlenecks and more of the backlog shipped.
Services
Six services for enterprise AI and engineering delivery
Each one can stand alone or combine into a single delivery stream.
Enablement
AI adoption
Move teams from scattered experimentation to practical, governed use. We help prioritise use cases, shape operating guardrails, enable teams and design adoption around real workflows.
Designed outcome
A usable AI adoption plan — not another innovation deck.
Secure adoption
Enterprise AI security
Design the controls, threat model, data boundaries and operating policies needed to adopt AI without creating blind spots. Watch Dog is one in-development DLP monitoring product within this broader service.
Watch Dog product — in development
Designed outcome
AI use that security, privacy and engineering teams can govern together.
ROI
Prototype to production
Turn promising prototypes into reliable software with architecture, evaluation, security review, deployment, observability and ownership designed in.
Designed outcome
Production systems that survive contact with the enterprise.
Scaling enterprise AI
Enterprise integrations
Connect AI to the systems where work actually happens: identity, data platforms, service management, ERP, collaboration tools and internal APIs.
Designed outcome
AI that can complete useful work — not another disconnected chat interface.
Modernisation
Legacy apps, plugins and workflows
Rebuild ageing ServiceNow, SAP, Atlassian and ERP extensions on supported APIs and modern frameworks. Simplify brittle workflows, reduce maintenance drag and prepare systems for AI-enabled operations.
Designed outcome
Less legacy friction and a platform your team can keep evolving.
Engineering capacity
Embedded engineering and delivery squads
Add experienced engineers around a critical initiative or bring in a focused delivery squad. Libra can work inside your team or own a defined delivery stream to reduce the backlog, unblock priorities and expedite delivery.
Designed outcome
More delivery capacity without waiting for a long hiring cycle.
How to engage Libra
Start with the constraint, not a generic package.
The right engagement depends on whether you need a decision, a delivered outcome or more engineering capacity.
You need clarity
Advisory sprint
Prioritise the use case, surface the risks and leave with a practical decision, control set or delivery roadmap.
You need a result
Delivery engagement
Give Libra a defined production, integration or modernisation outcome with agreed acceptance criteria and one accountable delivery lead.
You need capacity
Embedded engineers or a delivery squad
Add senior contributors inside your team or assign Libra a focused delivery stream to reduce backlog and expedite delivery.
What stays consistent
Whichever way you engage Libra, the delivery standard stays the same.
- One accountable delivery lead
- Security and architecture decisions made visible
- Tests, observability and runbooks included in the delivery definition
- Acceptance criteria and ownership agreed before handover
Technology ecosystems
Engineering across the platforms your enterprise already runs.
Libra designs and delivers across cloud, model, security, data, developer and enterprise application ecosystems.
- AWS
- Microsoft Azure
- Google Cloud
- OpenAI
- Anthropic
- Cloudflare
- CrowdStrike
- Zscaler
- Snowflake
- Databricks
- GitHub
- ServiceNow
- SAP
- Atlassian
- Supabase
- Vercel
Technology names and marks belong to their respective owners. Their inclusion describes relevant engineering ecosystems and does not imply partnership, certification or endorsement.
Start at stage one.
Frame the operating outcome and the evidence that would prove it. Everything else follows from that.