Build Integrations. Build Digital Workers. Run Automation. Govern Outcomes.
DWIGHT Studio is an enterprise grade Automation Operating System delivered as Platform as a Service.
The Studio enables organizations to move safely through the next era of automation: from deterministic RPA through AI infused workflows to responsibly governed agentic systems.
Built on meet DWIGHT’s own IP, the platform combines the reliability of Robotic Process Automation with the acceleration of Agentic AI, without sacrificing predictability, governance or cost control.
Organizations can build trustworthy enterprise-grade Digital Worker Bots that operate reliably, do not hallucinate and do not create unpredictable AI token cost exposure.
DWIGHT combines deterministic RPA with controlled AI decision making, so automation behaves predictably and remains fully auditable.
DWIGHT connects APIs, legacy systems and third party technologies, allowing automation across your entire technology stack.
AI is invoked only when required. Execution remains controlled and observable so organizations avoid runaway token costs.
Multimodal process recording captures how work is actually done and automatically generates the automation logic required to replicate it.
Deploy Digital Worker Bots internally to reduce costs or embed automation into your own commercial offering.
Use the DWIGHT studio to build integrations and reliable, compliant Digital Worker Bots across your business.
Enterprises are under pressure.
At the same time, the automation market has become polarized.
Legacy RPA platforms deliver predictability but struggle to evolve with AI.
Pure Agentic AI platforms promise flexibility but often introduce operational risk, unpredictable behavior and opaque token-driven cost models.
Many companies are forced to choose between stability or innovation.
DWIGHT Studio takes a more pragmatic path.
DWIGHT Studio structures automation into three progressive waves aligned to how organizations actually deploy technology.
DWIGHT Studio is engineered for organizations that want architectural ownership and strategic control of automation.
Deploy Digital Worker Bots to reduce labor dependency and improve margins.
Standardize automation patterns and deliver automation as part of your commercial service offering.
Bridge integration gaps across acquired platforms.
Orchestrate workflows across fragmented systems and embed automation directly into your product ecosystem, giving you the ability to monetize those automations.
Move from strategy to execution by delivering automation outcomes for clients.
Build reusable automation frameworks that can be deployed across multiple organizations.
DWIGHT Studio gives you a predictable cost model.
DWIGHT captures operational knowledge as work actually happens.
Activities across web applications, desktop systems, spreadsheets and offline processes can be recorded and analyzed.
The platform automatically converts these recordings into structured workflows and executable automation logic.
Human expertise becomes production-ready automation rapidly, dramatically reducing build time and accelerating speed to ROI.
DWIGHT Studio includes an easy-to-use visual automation builder.
This allows organizations to build sophisticated Digital Worker Bots without requiring deep engineering capability.
Automation teams can move from concept to deployment quickly while still maintaining enterprise architecture discipline.
Pure agentic platforms often fail in production due to unpredictable behavior and uncontrolled AI token costs.
DWIGHT Studio applies a hybrid execution model.
This produces stable enterprise automation with predictable costs.
Digital Worker Bots built on DWIGHT Studio remain reliable, trustworthy and controllable.
DWIGHT Studio integrates across both modern and legacy technologies.
API connectors enable structured integration, where available.
Surface automation enables secure user interface execution when APIs do not exist.
This means automation can span cloud platforms, legacy systems and third party technologies.
DWIGHT acts as a cross-platform integration engine that can automate complexity across your entire technology stack.
Many automation platforms are restricted to specific ecosystems.
DWIGHT Studio is built for real world enterprise environments where systems are fragmented and integration maturity varies.
Digital Worker Bots can operate across both modern and legacy systems, connecting platforms that would otherwise remain disconnected.
DWIGHT Studio does not force organizations into a single AI provider.
You bring your own LLM.
AI models are evolving rapidly and organizations need the flexibility to change providers.
DWIGHT Studio allows you to plug in your chosen model and change it whenever required.
No vendor lock-in. No forced roadmap dependency.
DWIGHT Studio includes built-in OCR and Intelligent Document Processing.
DWIGHT Studio is delivered as a fixed monthly Platform as a Service subscription.
The subscription includes:
Additional usage and builder licenses are available in structured bands to support growth while maintaining cost predictability.
DWIGHT Studio is delivered with a Success Plan.
Automation without capability introduces operational risk.
Success Plans provide access to meet DWIGHT developers for a defined number of hours each month.
These hours can be used for:
Success Plans act as a safety net for organizations building automation internally.
If teams run out of bandwidth or encounter complex use cases, the meet DWIGHT team is available to step in and support delivery.
This approach provides embedded automation capability without requiring organizations to hire a full internal automation engineering team.
| Capability | DWIGHT Studio | Traditional RPA Platforms | Microsoft Native Automation Tools | Pure Agentic Automation Platforms |
|---|---|---|---|---|
| Predictable cost model | Often token driven | |||
| Affordable for mid size organisations | Often expensive enterprise licensing | Often expensive enterprise licensing | Typically developer focused | |
| Enterprise grade governance, auditability and control | Often limited or evolving | |||
| Predictable operational behaviour | Often non deterministic | |||
| Ability to automate complex multi system workflows | Limited | Often dependent on strong APIs | ||
| Automates across modern and legacy systems | Mostly Microsoft ecosystem | Mostly modern API ecosystems | ||
| Surface automation when APIs do not exist | Limited | |||
| Designed for heterogeneous enterprise environments | Primarily Microsoft environments | Mostly API centric environments | ||
| Hybrid execution model combining RPA and AI | Limited | Limited | ||
| Pure agentic automation capability | Limited | Emerging | ||
| LLM agnostic architecture | Limited | Limited | Often model dependent | |
| Multimodal process recording | Limited | |||
| Success plan support with automation experts | Usually additional services | Usually additional services | Typically self service |
Most automation platforms sit at one of two extremes.
Traditional RPA platforms focus on deterministic automation but struggle to incorporate modern AI capabilities.
Pure agentic platforms prioritize AI autonomy but introduce unpredictable behavior, governance concerns and opaque token driven cost models.
DWIGHT Studio combines both approaches.
Deterministic RPA provides stability and control.
Agentic AI is applied selectively where it delivers real value.
The result is enterprise automation that is powerful, predictable and commercially viable.
Organizations can safely build integrations, Digital Worker Bots and automation workflows across their entire technology environment.