Deliver the digital products customers expect — without building the next source of technical debt.
When your roadmap, existing platform and engineering capacity move at different speeds, every delayed release has a commercial cost. ExoSystems powered by Indigo helps technology businesses turn priority applications, connected workflows and selected AI opportunities into working, governed production systems.
Governance built in across every stage: value · architecture · security · data · delivery · AI · cost
Technology leaders are asked to launch new capabilities while protecting reliability, margin and architecture. The obstacles show up long before the next board update.
Customer commitments grow, but scarce engineers are maintaining yesterday’s applications.
Customer-facing innovation can create more architecture, support and data dependencies.
Delivery teams need to move quickly while meeting the security and operating standards customers rely on.
An agent is not commercially useful until it works in a real process with reliable oversight.
The business outcome: more working capability in customers’ hands, with delivery dates, operating ownership and architecture decisions your team can stand behind.
Start with one customer journey, operational bottleneck or release constraint. Each can be scoped independently, without making a new platform rollout the objective.
Help customers complete high-value tasks through easier, connected digital experiences.
Reduce the administrative work that draws engineers and service teams away from customers.
Extend the systems that still work while simplifying the processes that slow product evolution.
Introduce AI where a bounded task can improve responsiveness, quality or employee capacity.
The platform choice should reduce delivery friction, not move complexity somewhere else. We evaluate it against your product, integration, security and lifecycle requirements.
Connect enterprise applications, workflows and AI agents with your existing systems. ExoSystems powered by Indigo helps assess where the platform fits, shape the architecture and translate the choice into accountable enterprise delivery.
Availability, licensing, security and deployment suitability are confirmed for the intended production environment.
Deliver web, mobile and operational experiences around defined customer and team needs.
Use integration and reusable components to work with core business data and APIs.
Assess bounded agent tasks, tool permissions, business ownership and human checkpoints.
Consider lifecycle, security, monitoring, testing and support before committing to launch.
A free personal environment is a place to explore and learn, not a replacement for a governed enterprise production deployment.
Two published customer stories show how technology businesses have put enterprise applications and AI-enabled work into practice.
BCX expanded from an inventory application to a wider ERP and workflow environment. The official OutSystems case study names ExoSystems as a sales and delivery partner in BCX’s platform journey.
BCX developed its initial application internally; the published story also credits JustSolve for later CPQ development support.
Read the BCX case study ↗IT consultancy TeamWork introduced customer and internal applications, including specialised AI agents for employee support and service processes, using OutSystems capabilities.
OutSystems reports more than 400 users; projected support improvements in the source are forecasts, not realised outcomes.
Read the TeamWork case study ↗The priority is not another transformation programme. It is one outcome that can be delivered, supported and measured with the existing estate in view.
Identify the delayed product, process or customer experience, its owner and the measure worth moving.
Assess integration, platform fit, access, support obligations and the controls needed before production.
Agree a scoped first release, test the experience, support adoption and use real results to guide the next step.
Bring us a product roadmap priority, integration constraint or AI opportunity. We’ll discuss the outcome, the existing systems and a credible route to a working release — without assuming another platform is always the answer.
