Move fast. Stay compliant.
Paradym Next is the enterprise platform for AI-powered software delivery. From business idea to production software, it orchestrates governed AI agents through every stage, each grounded in your enterprise context, with human approval at every gate.
Move fast. Stay compliant.
Paradym Next is the enterprise platform for AI-powered software delivery. From business idea to production software, it orchestrates governed AI agents through every stage, each grounded in your enterprise context, with human approval at every gate.
Move fast. Stay compliant.
Paradym Next is the enterprise platform for AI-powered software delivery. From business idea to production software, it orchestrates governed AI agents through every stage, each grounded in your enterprise context, with human approval at every gate.
Discover Paradym next.
Discover Paradym next.
Discover Paradym next.
Why Paradym next?
1
ENTERPRISE CONTEXT
Instant context for every decision.
Next puts your enterprise knowledge to work across delivery. Every piece of it, a security policy, a code graph, a design standard, has an agent that brings it into play, alone or as a pack. Knowledge stops sitting in silos: output is accurate first time, and every delivery enriches the context for the next.
2
GOVERNANCE
Governed by design.
Next makes your own standards the reviewers. Policy agents check every change against your security, compliance and engineering rules before merge, and every action is logged as it happens. Review keeps pace with AI-scale output, and the traceability regulators demand is a by-product of delivery, not a project.
3
PRODUCTIVITY
Better applications, faster.
Next gives everyone a conversational way to raise an idea, then does the structuring: deduplicating, capturing business justification, routing into governed delivery. The sanctioned path becomes the fastest path: the business gets better applications sooner, and the frustrations that drive shadow IT disappear.
4
AI ECONOMICS
Maximum intelligence, minimum spend.
The business chooses the model for the work, set centrally per agent and task. Routine work runs on efficient models; frontier capability is reserved for where it earns its cost. AI spend stops being an accumulation of invisible individual choices and becomes a managed line.
Why Paradym next?
1
Assessment
Instant context for every decision.
Next puts your enterprise knowledge to work across delivery. Every piece of it, a security policy, a code graph, a design standard, has an agent that brings it into play, alone or as a pack. Knowledge stops sitting in silos: output is accurate first time, and every delivery enriches the context for the next.
2
GOVERNANCE
Governed by design.
Next makes your own standards the reviewers. Policy agents check every change against your security, compliance and engineering rules before merge, and every action is logged as it happens. Review keeps pace with AI-scale output, and the traceability regulators demand is a by-product of delivery, not a project.
3
PRODUCTIVITY
Better applications, faster.
Next gives everyone a conversational way to raise an idea, then does the structuring: deduplicating, capturing business justification, routing into governed delivery. The sanctioned path becomes the fastest path: the business gets better applications sooner, and the frustrations that drive shadow IT disappear.
4
AI ECONOMICS
Maximum intelligence, minimum spend.
The business chooses the model for the work, set centrally per agent and task. Routine work runs on efficient models; frontier capability is reserved for where it earns its cost. AI spend stops being an accumulation of invisible individual choices and becomes a managed line.
Why Paradym next?
1
ENTERPRISE CONTEXT
Instant context for every decision.
Next puts your enterprise knowledge to work across delivery. Every piece of it, a security policy, a code graph, a design standard, has an agent that brings it into play, alone or as a pack. Knowledge stops sitting in silos: output is accurate first time, and every delivery enriches the context for the next.
2
GOVERNANCE
Governed by design.
Next makes your own standards the reviewers. Policy agents check every change against your security, compliance and engineering rules before merge, and every action is logged as it happens. Review keeps pace with AI-scale output, and the traceability regulators demand is a by-product of delivery, not a project.
3
PRODUCTIVITY
Better applications, faster.
Next gives everyone a conversational way to raise an idea, then does the structuring: deduplicating, capturing business justification, routing into governed delivery. The sanctioned path becomes the fastest path: the business gets better applications sooner, and the frustrations that drive shadow IT disappear.
4
AI ECONOMICS
Maximum intelligence, minimum spend.
The business chooses the model for the work, set centrally per agent and task. Routine work runs on efficient models; frontier capability is reserved for where it earns its cost. AI spend stops being an accumulation of invisible individual choices and becomes a managed line.
The Workflow
Submissions
1
Planning
Delivery
Context & Agents
Governance
My Work
Reporting
Anyone in the business raises an idea in a short conversation, and Next helps refine it as they go, drawing on your enterprise context. Ideas are structured, clustered with similar submissions, justified and routed into governed delivery. Demand arrives as organised signal, not noise.
AI agents, expert in your enterprise context, help turn approved ideas into requirements, product definitions and scored, prioritised work, moving through a gated pipeline. Before anything passes to delivery, the product requirements go to approved reviewers across the business for human review, change requests and sign-off. Better applications, faster.
Approved requirements are split into tracks of work and allocated to projects, giving delivery a clear, governed structure from the start. Tasks are allocated to engineers, who execute in Next Studio with coding agents grounded in your enterprise context. Every change is reviewed against your security, compliance and engineering standards before it lands.
Your business has regulatory obligations, compliance policies, security standards, internal business applications, vendor documentation. Next creates an agent over each, bringing that knowledge to bear at every stage of delivery, individually or in combination. Every decision, plan and line of code is grounded in what your organisation knows.
Governance is critical to your business. In Next, workflows, permissions, policies, gates and approvers are defined centrally and enforced everywhere: who reviews, who signs off, what standards apply. The business chooses the model for the work, controlling AI spend and ensuring only approved models touch your estate. Every action is logged as it happens, so the traceability regulators demand is a by-product of delivery, not a project.
Everything that needs your attention, in one place: your tasks, your reviews, your approvals, across every project you touch. Work arrives ready to act on, with the context to hand. Less time coordinating, more time delivering.
Report on everything within your permissions, in real time. Build dashboards for regular monitoring, or detailed report formats for specific analysis and recurring business reporting requirements. Insight on demand, at every level of the business.
The Workflow
Submissions
1
Planning
Delivery
Context & Agents
Governance
My Work
Reporting
Anyone in the business raises an idea in a short conversation, and Next helps refine it as they go, drawing on your enterprise context. Ideas are structured, clustered with similar submissions, justified and routed into governed delivery. Demand arrives as organised signal, not noise.
AI agents, expert in your enterprise context, help turn approved ideas into requirements, product definitions and scored, prioritised work, moving through a gated pipeline. Before anything passes to delivery, the product requirements go to approved reviewers across the business for human review, change requests and sign-off. Better applications, faster.
Approved requirements are split into tracks of work and allocated to projects, giving delivery a clear, governed structure from the start. Tasks are allocated to engineers, who execute in Next Studio with coding agents grounded in your enterprise context. Every change is reviewed against your security, compliance and engineering standards before it lands.
Your business has regulatory obligations, compliance policies, security standards, internal business applications, vendor documentation. Next creates an agent over each, bringing that knowledge to bear at every stage of delivery, individually or in combination. Every decision, plan and line of code is grounded in what your organisation knows.
Governance is critical to your business. In Next, workflows, permissions, policies, gates and approvers are defined centrally and enforced everywhere: who reviews, who signs off, what standards apply. The business chooses the model for the work, controlling AI spend and ensuring only approved models touch your estate. Every action is logged as it happens, so the traceability regulators demand is a by-product of delivery, not a project.
Everything that needs your attention, in one place: your tasks, your reviews, your approvals, across every project you touch. Work arrives ready to act on, with the context to hand. Less time coordinating, more time delivering.
Report on everything within your permissions, in real time. Build dashboards for regular monitoring, or detailed report formats for specific analysis and recurring business reporting requirements. Insight on demand, at every level of the business.
The Workflow
Submissions
Planning
Delivery
Context & Agents
Governance
My Work
Reporting
Anyone in the business raises an idea in a short conversation, and Next helps refine it as they go, drawing on your enterprise context. Ideas are structured, clustered with similar submissions, justified and routed into governed delivery. Demand arrives as organised signal, not noise.
AI agents, expert in your enterprise context, help turn approved ideas into requirements, product definitions and scored, prioritised work, moving through a gated pipeline. Before anything passes to delivery, the product requirements go to approved reviewers across the business for human review, change requests and sign-off. Better applications, faster.
Approved requirements are split into tracks of work and allocated to projects, giving delivery a clear, governed structure from the start. Tasks are allocated to engineers, who execute in Next Studio with coding agents grounded in your enterprise context. Every change is reviewed against your security, compliance and engineering standards before it lands.
Your business has regulatory obligations, compliance policies, security standards, internal business applications, vendor documentation. Next creates an agent over each, bringing that knowledge to bear at every stage of delivery, individually or in combination. Every decision, plan and line of code is grounded in what your organisation knows.
Governance is critical to your business. In Next, workflows, permissions, policies, gates and approvers are defined centrally and enforced everywhere: who reviews, who signs off, what standards apply. The business chooses the model for the work, controlling AI spend and ensuring only approved models touch your estate. Every action is logged as it happens, so the traceability regulators demand is a by-product of delivery, not a project.
Everything that needs your attention, in one place: your tasks, your reviews, your approvals, across every project you touch. Work arrives ready to act on, with the context to hand. Less time coordinating, more time delivering.
Report on everything within your permissions, in real time. Build dashboards for regular monitoring, or detailed report formats for specific analysis and recurring business reporting requirements. Insight on demand, at every level of the business.
Next Studio.
Next Studio is where your engineers build. A desktop environment where every task arrives with its full context: the requirement, the plan, the standards that apply, and coding agents grounded in your enterprise knowledge. Engineers direct the work; agents execute at pace; policy checks run before anything lands. The power of AI-assisted development, inside the governance of Next.
Next Studio.
Next Studio is where your engineers build. A desktop environment where every task arrives with its full context: the requirement, the plan, the standards that apply, and coding agents grounded in your enterprise knowledge. Engineers direct the work; agents execute at pace; policy checks run before anything lands. The power of AI-assisted development, inside the governance of Next.
Next Studio.
Next Studio is where your engineers build. A desktop environment where every task arrives with its full context: the requirement, the plan, the standards that apply, and coding agents grounded in your enterprise knowledge. Engineers direct the work; agents execute at pace; policy checks run before anything lands. The power of AI-assisted development, inside the governance of Next.
Compliant by design
Whether your obligations arise under the EU AI Act, DORA, NIS2, GDPR or other sector or jurisdiction specific regimes, you need demonstrable control over how software is specified, built and deployed. Next embeds that control into delivery itself. Policies are enforced at every gate, human approval is recorded on every decision that matters, and a complete audit trail is generated as you work. When evidence is required, it already exists.
Your regulatory context, applied at every stage.
Compliant by design
Whether your obligations arise under the EU AI Act, DORA, NIS2, GDPR or other sector or jurisdiction specific regimes, you need demonstrable control over how software is specified, built and deployed. Next embeds that control into delivery itself. Policies are enforced at every gate, human approval is recorded on every decision that matters, and a complete audit trail is generated as you work. When evidence is required, it already exists.
Your regulatory context, applied at every stage.
Compliant by design
Whether your obligations arise under the EU AI Act, DORA, NIS2, GDPR or other sector or jurisdiction specific regimes, you need demonstrable control over how software is specified, built and deployed. Next embeds that control into delivery itself. Policies are enforced at every gate, human approval is recorded on every decision that matters, and a complete audit trail is generated as you work. When evidence is required, it already exists.
Your regulatory context, applied at every stage.
See what’s next.
Book a conversation and we’ll show you Paradym Next working on problems like yours.
See what’s next.
Book a conversation and we’ll show you Paradym Next working on problems like yours.
See what’s next.
Book a conversation and we’ll show you Paradym Next working on problems like yours.
Your questions answered.
What is Paradym Next?
Paradym Next is the enterprise platform for AI-powered software delivery. From business idea to production software, it orchestrates governed AI agents through every stage, each grounded in your enterprise context, with human approval at every gate.
How does Next keep AI output accurate and relevant to our business?
Next builds a knowledge context from what your organisation already holds: regulatory obligations, compliance policies, security standards, internal business applications and vendor documentation. An agent is created over each, bringing that knowledge to bear at every stage of delivery. Output reflects how your business actually works, not a generic assumption of it.
How does Next keep us compliant?
Workflows, policies, gates and approvers are defined centrally and enforced everywhere, with human approval recorded on every decision that matters. Every action is logged as it happens, so a complete audit trail exists as a by-product of delivery. Whether your obligations arise under the EU AI Act, DORA, NIS2, GDPR or other sector or jurisdiction specific regimes, the evidence is there when you need it.
Where does our data and code reside?
Where you need it to. Next can be deployed in the cloud or on premise, including controlled-egress and air-gapped environments. For organisations with strict data residency or sovereignty requirements, Next supports self-hosted open-weight models, so nothing has to leave your estate.
Which AI models does Next use?
The models you choose. Model selection is a governance decision in Next, set centrally per agent and task. You can use leading cloud API models, self-hosted open-weight models, or a combination, with routine work running on efficient models and frontier capability reserved for where it earns its cost.
How does Next fit with our existing tools and ways of working?
Next is designed to sit alongside your existing estate rather than replace it. Your code repositories, documentation and systems become part of the enterprise context, and delivery output flows to your production environments.
How long does it take to implement Next?
Implementation involves connecting your knowledge sources, ingesting your codebases, creating your agents and agent packs, and configuring your governance model: your gates, approvers and policies. Team training and onboarding complete the implementation, so your people are productive from the start.
Who pays for AI model usage?
You connect your own API keys for the models you choose to use in Next. Token costs are paid directly to your model providers at their rates, with no margin added by Paradym. Next helps you keep those costs under control: model selection is set centrally per task, so routine work runs on efficient models and premium capability is used only where it earns its cost.
How is Next priced?
Next is priced as an annual platform subscription based on the size of your organisation and estate, with deployment and support options to match your requirements. Details are on our Pricing page, and we are happy to build a specific proposal for your circumstances.
Your questions answered.
What is Paradym Next?
Paradym Next is the enterprise platform for AI-powered software delivery. From business idea to production software, it orchestrates governed AI agents through every stage, each grounded in your enterprise context, with human approval at every gate.
How does Next keep AI output accurate and relevant to our business?
Next builds a knowledge context from what your organisation already holds: regulatory obligations, compliance policies, security standards, internal business applications and vendor documentation. An agent is created over each, bringing that knowledge to bear at every stage of delivery. Output reflects how your business actually works, not a generic assumption of it.
How does Next keep us compliant?
Workflows, policies, gates and approvers are defined centrally and enforced everywhere, with human approval recorded on every decision that matters. Every action is logged as it happens, so a complete audit trail exists as a by-product of delivery. Whether your obligations arise under the EU AI Act, DORA, NIS2, GDPR or other sector or jurisdiction specific regimes, the evidence is there when you need it.
Where does our data and code reside?
Where you need it to. Next can be deployed in the cloud or on premise, including controlled-egress and air-gapped environments. For organisations with strict data residency or sovereignty requirements, Next supports self-hosted open-weight models, so nothing has to leave your estate.
Which AI models does Next use?
The models you choose. Model selection is a governance decision in Next, set centrally per agent and task. You can use leading cloud API models, self-hosted open-weight models, or a combination, with routine work running on efficient models and frontier capability reserved for where it earns its cost.
How does Next fit with our existing tools and ways of working?
Next is designed to sit alongside your existing estate rather than replace it. Your code repositories, documentation and systems become part of the enterprise context, and delivery output flows to your production environments.
How long does it take to implement Next?
Implementation involves connecting your knowledge sources, ingesting your codebases, creating your agents and agent packs, and configuring your governance model: your gates, approvers and policies. Team training and onboarding complete the implementation, so your people are productive from the start.
Who pays for AI model usage?
You connect your own API keys for the models you choose to use in Next. Token costs are paid directly to your model providers at their rates, with no margin added by Paradym. Next helps you keep those costs under control: model selection is set centrally per task, so routine work runs on efficient models and premium capability is used only where it earns its cost.
How is Next priced?
Next is priced as an annual platform subscription based on the size of your organisation and estate, with deployment and support options to match your requirements. Details are on our Pricing page, and we are happy to build a specific proposal for your circumstances.
Your questions answered.
What is Paradym Next?
Paradym Next is the enterprise platform for AI-powered software delivery. From business idea to production software, it orchestrates governed AI agents through every stage, each grounded in your enterprise context, with human approval at every gate.
How does Next keep AI output accurate and relevant to our business?
Next builds a knowledge context from what your organisation already holds: regulatory obligations, compliance policies, security standards, internal business applications and vendor documentation. An agent is created over each, bringing that knowledge to bear at every stage of delivery. Output reflects how your business actually works, not a generic assumption of it.
How does Next keep us compliant?
Workflows, policies, gates and approvers are defined centrally and enforced everywhere, with human approval recorded on every decision that matters. Every action is logged as it happens, so a complete audit trail exists as a by-product of delivery. Whether your obligations arise under the EU AI Act, DORA, NIS2, GDPR or other sector or jurisdiction specific regimes, the evidence is there when you need it.
Where does our data and code reside?
Where you need it to. Next can be deployed in the cloud or on premise, including controlled-egress and air-gapped environments. For organisations with strict data residency or sovereignty requirements, Next supports self-hosted open-weight models, so nothing has to leave your estate.
Which AI models does Next use?
The models you choose. Model selection is a governance decision in Next, set centrally per agent and task. You can use leading cloud API models, self-hosted open-weight models, or a combination, with routine work running on efficient models and frontier capability reserved for where it earns its cost.
How does Next fit with our existing tools and ways of working?
Next is designed to sit alongside your existing estate rather than replace it. Your code repositories, documentation and systems become part of the enterprise context, and delivery output flows to your production environments.
How long does it take to implement Next?
Implementation involves connecting your knowledge sources, ingesting your codebases, creating your agents and agent packs, and configuring your governance model: your gates, approvers and policies. Team training and onboarding complete the implementation, so your people are productive from the start.
Who pays for AI model usage?
You connect your own API keys for the models you choose to use in Next. Token costs are paid directly to your model providers at their rates, with no margin added by Paradym. Next helps you keep those costs under control: model selection is set centrally per task, so routine work runs on efficient models and premium capability is used only where it earns its cost.
How is Next priced?
Next is priced as an annual platform subscription based on the size of your organisation and estate, with deployment and support options to match your requirements. Details are on our Pricing page, and we are happy to build a specific proposal for your circumstances.