Product
Jadey carries business-critical enterprise cases to a reliable close
Jadey is a multi-agent system for business-critical enterprise cases. A lead agent keeps target, ownership, priority, status and next action together; specialised agents review, research, document, prepare decisions and contribute targeted work. Agents run persistently in a customer-controlled runtime, sleep during waiting phases and resume through replies, events or timeouts.
Jadey checks whether results are decision-ready, complete and evidenced. It escalates when blockers, conflicting objectives or missing contributions put completion at risk. This makes value creation less dependent on handover discipline, organisational politics or the day-to-day availability of individual employees.
Product definition
What Jadey is
Jadey is a multi-agent system that carries business-critical cases across functions, systems, approvals and escalations until the outcome is reliable. A case can be an order clarification, a complaint, an audit item, a technical exception or any other bounded enterprise matter. The benchmark is not automation of isolated process steps. The benchmark is the completed, documented outcome. Jadey does not replace ERP, CRM or domain systems; it keeps operational case execution together above them.
Product core
Persistent runtime in the customer environment
The multi-agent system runs in an environment hosted by the customer, typically on a Kubernetes cluster. A lead agent keeps target, ownership, priority, status and next action together; specialised agents contribute inside this controlled runtime. Data, integrations, identities, networking and cloud-security requirements remain under the customer's control. Jadey operates the agent runtime as a managed runtime inside that environment, covering maintenance, scaling and operating mechanisms for deployed agents.
An agent is not a single LLM request and not a temporary copilot context. It is a durable operating unit that preserves state, target, history, dependencies, approvals, escalation state and the next action, so an enterprise case can continue reliably after interruptions, waiting periods or restarts.
RUNS IN YOUR CLOUD ENVIRONMENT
Microsoft Azure
AWS
Google Cloud
STACKIT
On-Prem
Model governance
Model choice remains controllable
Jadey does not lock business-critical work to one model or provider. Enterprises can make model decisions by use case, data class, cost profile and governance requirement within an approved integration frame. This matters because model quality, pricing, contracts and regulatory expectations change. Jadey keeps case execution stable while model choice and model changes remain controlled.
Supports leading models and model families
ChatGPT
Claude
Gemini
Mistral
DeepSeek
Qwen
Commercial control
Full cost control
Jadey makes the use of different AI models commercially controllable. For each use case, the model is selected to best meet requirements for quality, data protection, evidence and cost. With Bring Your Own Key, consumption, billing and contractual relationships remain transparently traceable inside the enterprise's existing structure. High-performance models secure business-critical decisions and complex exceptions; efficient models handle standard paths and high volumes. This makes AI scalable across the enterprise, with controllable costs, flexible model choice and full customer-side control.
Operating pattern
How Jadey works
In Jadey's multi-agent system, every carried case has a lead agent that holds target, status, priority, open points and completion responsibility. Specialist agents contribute under control: document review, data reconciliation, policy application, decision preparation, evidence creation or system action. When a case waits for people, systems, deadlines or external events, the lead agent does not block execution. It persists state, sleeps and resumes when the next signal arrives.
Reliability
Agentic multi-eye control
Jadey does not entrust critical results to a single LLM or isolated agent. Results can be counter-checked by independent review, policy and domain agents. An executive-agent role can hold outcome responsibility, priority, conflicts and escalation to the right human or organisational level. The thesis is not that one model is flawless. It is that independent checks, evidence review and escalation logic make errors more visible, limited and governable.
Long runners
Long-running cases remain controllable
Many critical cases do not finish in minutes or hours. They include waiting time, missing input, repeated decisions, approvals, system feedback, personnel changes and organisational escalations. Jadey is built to keep such cases together over weeks, months or longer, while preserving decision context and next action.
Capabilities
Product capabilities in execution
Jadey does not provide blanket autonomy. Capability is created per enterprise case through approved scope, roles, integrations, policies and human intervention points. Typical capabilities include:
- Create and hold cases with target, status, priority and next action.
- Review documents, identify missing information and prepare follow-up questions.
- Reconcile data across existing systems and make discrepancies visible.
- Structure decisions, prepare rationale and consolidate options.
- Request approvals, follow review paths and mark intervention points.
- Track responsibilities, deadlines and open contributions across teams.
- Detect blockers, timeouts and conflicts, then escalate by rule.
- Document evidence, history, approvals and critical actions.
Use cases
Typical fields of use
Jadey fits where a matter is business-critical but runs across multiple owners, systems and decisions. Typical fields include order clarification, claims and complaints, customer or supplier onboarding, audit and compliance cases, technical exceptions and cross-functional escalations.
Governance
Operations and governance
Governance is part of the product, not a separate control link. Roles, rights, approvals, review paths, intervention points, auditability and escalation rules are carried as part of execution. Employees can develop agents within defined boundaries by turning domain knowledge, rules, checks and decision logic into governed agent behaviour.
Integration
Integration across existing systems
Existing systems retain their domain role. ERP, CRM, DMS, ticketing, collaboration, identity and specialist systems remain the systems of record. Jadey carries the case across that landscape and uses integrations only within the approved frame.
Boundaries
What Jadey is not
Jadey is not a chatbot, not a single copilot for one knowledge worker and not an RPA script for a narrow click path. It is not a dashboard without operating responsibility. Jadey carries case execution, keeps context and state persistent, consolidates contributions and makes decisions, approvals, blockers and completion controllable in the enterprise frame.
Impact
Management impact in operations
For management and IT, the relevant question is not whether one step becomes faster. The question is whether critical cases reach outcome more reliably. Jadey reduces idle time, unclear escalation, manual follow-up and rework because the case no longer disappears between responsibilities.
FAQ
Executive questions
Is Jadey a chatbot or copilot?
No. Jadey is built for persistent case execution, not isolated conversations or short-lived assistance.
Where does Jadey run?
Jadey runs in a customer-hosted environment, typically on Kubernetes. Data, integrations, identities, networking and cloud-security requirements remain under customer control.
How long can an agent hold a case?
An agent can hold cases over weeks, months or longer. Waiting phases, restarts, follow-up questions, approvals, personnel changes and timeouts are part of the operating model.
Does Jadey replace ERP, CRM or workflow systems?
No. Existing systems remain authoritative. Jadey carries cases across them and keeps status, next action, approvals, escalations and evidence together.
How does execution remain controllable?
Control comes from roles, rights, policies, reviews, approvals, intervention points, auditability and escalation rules.
Can business teams evolve agents themselves?
Yes, within defined roles, rights and review paths. Domain knowledge, rules and decision logic can be turned into agent behaviour without bypassing governance.