DWIGHT Studio gives organisations the infrastructure to build, deploy and govern automation across their business.
Built on meet DWIGHT’s own IP, it brings together the reliability of Robotic Process Automation, the intelligence of AI-powered workflows, and a structured path towards more agentic automation.
Connect your technology. Build across multiple systems. Bring your own LLM. Introduce AI where it creates value while keeping execution controlled, observable and commercially predictable.
Own the capability. Build on your terms. Scale with confidence.
Your automation strategy shouldn’t force you to choose between what already works and what’s coming next.
RPA already powers predictable, repeatable work across enterprise environments. AI introduces new capability where processes require interpretation, classification, reasoning or adaptability.
DWIGHT Studio brings those capabilities together within one architecture.
Use deterministic automation where the rules are understood. Introduce AI where it adds genuine value. Progress towards more autonomous workflows where the use case requires it.
The result is a practical route from traditional automation to intelligent automation - without ripping up what already works.
Modern or legacy. API or no API. DWIGHT is built to work across fragmented technology environments.
Enterprise technology rarely exists in one neat ecosystem.
Businesses operate across cloud applications, third-party platforms, internal tools and legacy technology (and not every system has an API).
DWIGHT Studio is designed for that reality.
It can work across:
Where an API exists, DWIGHT can use it. Where one doesn’t, DWIGHT can interact with systems through user-interface and surface automation.
One workflow can operate across the wider technology stack - without requiring you to replace the systems your business already relies on.
Not every process needs AI. Not every organisation needs maximum autonomy from day one.
DWIGHT Studio supports three progressive waves of automation, allowing organisations to introduce greater intelligence as their use cases, capability and governance requirements evolve.
DWIGHT Studio is designed for technology-led organisations and advanced enterprises that want to own and govern their automation capability.
Build across your existing technology stack, choose where and how AI is used, and evolve your automation architecture on your terms.
Build Digital Worker Bots that reduce manual effort, increase operational capacity and improve margins.
Create repeatable automation frameworks across client environments - and turn automation into part of the service you sell.
Connect and orchestrate processes across acquired platforms, even where systems were never designed to work together.
Bridge modern, legacy, API and non-API technology, then embed automation into your wider product ecosystem.
Move beyond recommending transformation and deliver the automation behind it.
Build reusable Digital Worker Bots and automation frameworks that can be deployed across multiple customers - creating a scalable new commercial capability.
DWIGHT Studio combines deterministic execution with governed AI, helping you maintain visibility over cost, execution and outcomes.
Move from process knowledge to automation without weeks of manual mapping.
One of the slowest parts of enterprise automation often happens before development even begins. Processes have to be understood, mapped, documented and translated before they can be automated.
DWIGHT Studio is designed to shorten that journey.
Using multimodal process recording, DWIGHT can capture operational knowledge as the process actually happens - including video calls, live UI interaction and activity across Chrome and Windows environments.
From that process capture, Studio can generate:
Move faster from “this is how we do it” to “this is how we automate it.”
Give technical teams control while making automation easier to build and evolve.
Once a process has been captured, DWIGHT Studio helps teams turn that knowledge into working automation. AI-assisted development can generate workflows from recordings, while Studio’s visual tools allow teams to edit and refine automation using drag-and-drop functionality or natural-language prompts.
That creates a more collaborative build process. Developers can accelerate delivery. Operational users can explain what needs to change.
Automation teams can adapt workflows as processes evolve without rebuilding everything from scratch.
Less dependency on deep engineering for every change. More flexibility to improve automation as the business changes.
Automation can become more than an internal efficiency tool.
DWIGHT Studio includes a growing library of pre-built agents, reusable components and proven workflow patterns, helping organisations avoid starting every automation from a blank page. The initial library includes processes relevant to recruitment and staffing environments, such as:
These components can be adapted and reused across teams, processes or business units. But Studio also creates a wider commercial opportunity.
Organisations can:
For BPOs, software companies and advisory firms in particular, automation can become something you sell - not simply something you use.
Your automation strategy shouldn’t depend on a single AI model.
DWIGHT Studio is LLM-agnostic by design. Organisations can use commercial or open-source models and choose different LLMs according to the requirements of the workflow.
Optimise for:
As models improve and your requirements change, your choice of LLM can change too. Your Automation Operating System stays in place.
No forced model dependency. No requirement to build your automation future around somebody else’s AI roadmap.
You build and own the capability. But you’re not left alone with it.
Every DWIGHT Studio subscription includes a structured Success Plan, giving customers access to meet DWIGHT developers for a defined number of hours each month.
Use that expertise when you need additional support, specialist knowledge or simply more capacity. Your Success Plan can cover:
As your automation capability matures, the support can evolve with you.
Studio bridges the gap between self-build automation software and a fully managed service: you retain ownership and control, with experienced automation specialists there when you need them.
Prefer DWIGHT to build and operate your automation for you? Explore DWIGHT Managed Service.
DWIGHT Studio gives organisations a practical path between standalone RPA and uncontrolled Agentic AI.
| Capability | DWIGHT Studio | Standalone RPA | Pure Agentic AI |
|---|---|---|---|
| Cost predictability | Designed to control automation cost at scale, with deterministic workflows used where AI is not needed | Often requires licensing, development resource and ongoing maintenance | Usage can become difficult to forecast as token-heavy workflows scale |
| Token cost exposure | Uses deterministic automation where AI is not needed, reducing unnecessary token use | Limited exposure unless AI is layered in separately | Higher exposure where tasks depend on repeated model calls |
| Legacy system support | Supports modern, legacy, API and non-API systems | Can support legacy systems, but may need maintenance when systems or processes change | Often depends on system access, context quality and controlled integration paths |
| Governance | Combines controlled execution, observable workflows and governed AI use | Strong for rules-based automation, but may need an AI layer where interpretation or decision support is required | Can be harder to govern when actions are more autonomous or less predictable |
| Deployment speed | Process recording, visual building and Success Plans help shorten the route from process knowledge to automation | Deployment depends on process stability, available development resource and maintenance requirements | Pilots can move quickly, but production governance and cost control can slow scale |
| AI capability | Applies AI selectively within controlled workflows | Usually needs AI or additional orchestration where interpretation, classification or reasoning is required | Strong AI flexibility, but may introduce greater uncertainty in execution |
| Technology-stack flexibility | Designed for fragmented enterprise systems and mixed technology environments | Best suited to stable, rules-led processes | Can struggle where workflows require reliable action across multiple complex systems |
| Best fit | Organisations that want to build and govern automation across real enterprise environments | Organisations with stable, rules-led processes where deterministic execution is the priority | Organisations exploring flexible AI use cases with lower process risk |
DWIGHT Studio acts as a hybrid automation platform, combining deterministic execution with governed AI where it adds value.
Connect your technology. Capture your processes. Build Digital Worker Bots. Introduce AI where it adds value. Govern everything from one platform.
Own the capability. Scale it on your terms.