Extend the systems you already use
Give AI somewhere to build the calculation, data processing or interactive report a task requires. The new capability runs alongside your application and uses its authorized interfaces.
FleeceTideCentralized Enterprise Harness + Runtime
Give AI the runtime to extend your applications.
AI builds the capability your task needs, then runs it in FleeceTide. Purpose-built programs, data workflows and mini-apps extend what your enterprise systems can accomplish, within the permissions and controls your organization sets.
Start with an outcome your current systems struggle to deliver. Tell us what you need to make possible.
Your enterprise application
Data + authorized operations
FleeceTide Runtime & Harness
AI builds and works here
- Build
- Run
- Validate
- Programs
- Data workflows
- Mini-apps
A new capability, ready for the task
Direct answer
What is FleeceTide?
FleeceTide is a centralized enterprise Harness + Runtime that lets compatible AI models build, execute and improve programs, data workflows and mini-apps alongside existing business systems. Delivered as a private-cloud service, it provides an AI-native application layer that extends both the agent’s execution capabilities and the work connected applications can complete.
The agent can implement the components a task needs and then use them: a calculation program, an extraction pipeline, a local analytical database or an interactive application. People supply business context, review the work and retain approval authority.
The harness coordinates models, application tools, organizational context and controls. The runtime provides the persistent workspace and execution resources. Together, they support long-running work across packaged, customized and in-house systems.
Our design principle
For task completion,Runtime > Harness.
A capable model can identify what needs to happen. An AI-native runtime gives it the means to make it happen: compute, storage, tools and a persistent environment in which to build and execute.
- Harness organizes the work
- Coordinates the model, context, tools, policies and approvals that guide the agent through a task.
- Runtime makes the work executable
- Runs the programs, data processing and applications the agent builds, preserves their state, and supports testing and refinement.
FleeceTide brings both together. Its runtime acts as an AI-native application layer around your existing systems, expanding what the agent can execute and what your applications can accomplish.
Article 002: Why enterprise AI needs a generative execution layer →Operational outcomes
Build the capability. Complete the work. Keep the result.
Turn a request into a working capability
Agents can write the program, run it, inspect the result and refine it in the same environment. Working code, data and implementation knowledge remain available for follow-up tasks.
Keep long-running work alive
Durable sessions can continue multi-stage work, wait for external conditions, run scheduled routines, recover from known errors, and preserve evidence independently of one conversation or browser window.
Centralize organizational standards
Manage tools, credentials, policies, memory, and operating guidance through one service while isolating workloads by user, task, and environment.
Govern high-impact actions
Apply least-privilege access, explicit approvals, bounded credentials, isolated workspaces, and guard policies to actual execution—not only to instructions in a prompt.
Verify the result
Require tool-backed evidence of the requested outcome and distinguish completed work from a proposal, an unverified claim, or a partially finished process.
The working environment
An environment where AI can build, run and improve.
Programs, data processing and mini-apps
Agents can create and execute task-specific code, build analytical data models and deliver interactive applications in the runtime. The work can continue as a background job while its code, files and results remain in the workspace.
Application-specific operations
Interfaces are combined with tools, skills, error guidance, sandbox resources, and system-specific knowledge so agents can work with the enterprise's real configuration.
Flexible application access
Use APIs, MCP servers, databases, data warehouses, files, browser interfaces, command-line operations, or purpose-built tools according to the task and controls.
Durable sessions and isolated workspaces
Long-running work retains state and intermediate artifacts while isolated workspaces keep each task's files and execution context separate.
Organizational memory
Agents can use operating knowledge, prior lessons, and task context. TeemLush can provide shared knowledge and team memory as a dedicated enterprise layer.
Approvals and guard policies
Sensitive operations can pause for explicit approval, while policies inspect intended actions, results, or action sequences against defined rules.
Verification and execution records
Agents validate changes against relevant systems and preserve actions, approvals, errors, retries, and results for later review.
Model independence
Use compatible models from approved providers. FleeceTide supplies the governed execution layer rather than training foundation models or repackaging token use as product credits.
A real application built in FleeceTide
An inventory application, built on demand.
This recorded example reached a working application with checked report views. Extraction completeness and reconciliation still needed follow-up; scheduled refresh was proposed as a next step.
The challenge
In the customer’s ERP environment, high transaction volumes caused historical inventory queries to time out. A separate data warehouse and BI project was the fallback.
What AI built
With business guidance and user review, AI built extraction programs, an analytical database and an interactive mini-app. All ran inside FleeceTide.
What became possible
Users could explore opening stock, movements and closing stock by subsidiary, warehouse, date and item. AI ran, tested and refined the application, extending what the existing ERP could deliver.
Adoption path
From target workflow to governed execution.
- 01
Define the work and its boundaries
Identify the target outcome, applications, data scope, human approvals, prohibited actions, and evidence required for completion.
- 02
Enable the application environment
Connect the permitted application interfaces and give the agent the relevant context and workspace. Your team or delivery partner guides setup; ConstaVitality provides product enablement.
- 03
Let AI build and run the required capability
The agent uses a compatible model to implement the required program, data workflow or mini-app, then executes it in FleeceTide. It can inspect outputs, revise the implementation and continue across multiple stages.
- 04
Verify, approve, and record
Pause selected high-risk actions for approval, check results against the relevant source of truth, and record what completed, failed, was blocked, or needs human judgment.
Workload examples
Designed for work that does not fit inside one prompt.
- Build inventory, reconciliation or analytical reporting applications when the existing query or reporting path cannot meet the requirement.
- Reconcile operational and financial data, investigate exceptions, and produce evidence-backed reporting.
- Coordinate order fulfillment, supply arrangements, procurement, expenses, and service or repair processes.
- Query and analyze governed enterprise data without moving every task into a separate desktop workflow.
- Create, test, and deploy authorized application configuration or secondary-development changes.
- Exchange files, operate web interfaces, and call legacy APIs as part of one controlled task chain.
- Run scheduled routines, monitor expected results, recover from known errors, and escalate exceptions.
Exact abilities depend on the connected applications, interfaces, permissions, controls, and validation requirements.
Fit check
Is FleeceTide right for your environment?
FleeceTide is a strong fit when
- Your application lacks the calculation, report, data workflow or interactive view the business needs.
- A capable AI agent can plan the work but cannot reliably complete it through enterprise applications.
- The workflow spans several systems, files, data sources, teams, or waiting periods.
- A desktop or personal setup cannot provide the runtime, isolation, consistency, or oversight required.
- The target system is customized, internally developed, dependent on legacy interfaces, or missing a modern agent interface.
- Sensitive actions require approval, enforceable policies, verification, and a durable execution record.
- The organization wants to use selected model providers rather than buy a model bundled into another application.
It may be more than you need when
- The requirement is limited to chat, search, summarization, or content generation.
- A single low-risk operation completes the task and the target system already provides sufficient controls and audit.
- No system action, durable state, organizational policy, or result verification is required.
Key facts
FleeceTide at a glance.
- AI-native runtime
- Agent-built programsData processing & analytical databasesInteractive mini-appsPersistent workspacesBackground jobs & scheduled routinesExecution, testing & refinement
- Availability
- Production centralized private-cloud harness serviceManaged agent runtimeSupported environments typically activated in 1–5 days, subject to scope and prerequisitesNew or customized systems scoped after technical assessment
- Applications & interfaces
- Packaged, customized & in-house applicationsDatabases & data warehousesAPIs & MCP serversFiles, browser interfaces, CLI & custom toolsOracle NetSuiteSAP S/4HANA & SAP ECC 6.0Oracle E-Business Suite 12 & Fusion Cloud ERPSalesforceMicrosoft Dynamics 365 Finance & Supply Chain ManagementWorkday
- Compatible model families currently listed
- Anthropic ClaudeOpenAIGoogle GeminixAI GrokDeepSeekQwenGLMKimi
- Security & control posture
- Least-privilege credentialsExplicit approval for selected actionsIsolated task workspacesConfigurable guard policiesDurable execution & audit recordsControl design intended to align with ISO/IEC 27001
Compatibility, activation timing, exact abilities, and controls are confirmed for each model, provider, task, connected environment, and deployment.
Portfolio role
A runtime for new capabilities. An application foundation for core work.
FleeceTide gives agents an environment to build and run capabilities around existing systems. SiriusCore supplies the broader enterprise application foundation: business models, transactions, workflow and application-enforced controls.
TeemLush
Supplies shared domain knowledge, private context, and organizational memory that enterprise AI agents can use and improve.
FleeceTide
Runs and governs agents, and hosts the programs, data workflows and mini-apps they build to extend business capabilities.
SiriusCore
Supplies the goal-driven enterprise application through which agents perform authoritative work and coordinate connected systems.
Each product can be used independently. When FleeceTide and SiriusCore are combined, FleeceTide runs the agent while SiriusCore becomes its primary enterprise application surface.
Role in the delivery system
Each product can work independently. Together, they bridge capable models to completed enterprise tasks.
- MODELCapable AI modelsReasoning + tool use
- 01TeemLushEnterprise Knowledge + Team Memory
- 02Current productFleeceTideCentralized Enterprise Harness + Runtime
- 03SiriusCoreAI-Native Enterprise Application + Workbench
- RESULTDelivered taskGoverned enterprise result
Scenario observations
One multi-application working-scenario observation.
This specific scenario compared requirement coverage, personnel efficiency, and error rates in the stated cross-system environment.
Illustrative working scenario
Order fulfillment, supply arrangement, and repair automation
DeepSeek v4 pro + TeemLush + FleeceTide + Salesforce + SAP S/4HANA + Ariba + Concur, with the latter three using only legacy APIs rather than MCP. Compared with other agent applications used without FleeceTide; hard-prohibited errors were not observed in this scenario.
- Requirement coverage / task completion
- 21% → 93%
- Team personnel efficiency
- ~40% gain
- Error rate
- ~13% → 1%
FAQ
Questions buyers ask about FleeceTide.
Can FleeceTide build functionality our enterprise application does not provide?
Yes. Within the enabled environment and granted permissions, AI can build and run programs, data pipelines, analytical databases and interactive mini-apps in FleeceTide. This can add a report, calculation or workflow around an existing application. The agent implements and uses the capability; people provide business guidance, review and approval. Exact scope depends on available data, interfaces and controls.
What is the difference between an AI harness and an AI runtime?
The harness coordinates the model, context, tools, policies and approvals. The runtime supplies the compute, storage, workspace and execution environment where the agent can build and run what a task requires. ConstaVitality’s design principle is “For task completion, Runtime > Harness”: the ability to execute new capabilities is decisive. FleeceTide provides both.
How can FleeceTide help when ERP inventory queries time out?
In the inventory example, historical queries timed out in the customer’s ERP environment. With user guidance, AI built extraction programs, an analytical database and an interactive inventory mini-app inside FleeceTide. The agent tested and refined the reporting logic, giving users a new way to explore inventory without repeatedly running the full historical query against the ERP.
Can FleeceTide replace a separate data warehouse and BI project?
For a focused reporting requirement, FleeceTide can provide the environment in which AI builds and runs the necessary extraction, analytical database and user-facing application together. The inventory example demonstrates this approach. It does not establish that every enterprise-wide warehouse or BI platform can be replaced; data scope, freshness, governance and operational requirements still determine the architecture.
Can FleeceTide work with customized or in-house systems?
Yes, when the system exposes an interface that can be operated safely, such as an API, database, file exchange, browser interface, command-line operation, or custom tool. ConstaVitality assesses the interface, required context, permissions, controls, and verification method before confirming exact capabilities.
Do we need MCP servers for every system?
No. FleeceTide can use MCP where it is suitable, but it can also work through APIs, databases, files, browser interfaces, command-line operations, and purpose-built tools. The right interface depends on the task, target system, and required controls.
How is sensitive work controlled?
FleeceTide combines scoped credentials, isolated workspaces, human approval for selected actions, configurable guard policies, application-specific guidance, verification, and durable execution records. Controls are configured for the task and environment rather than assumed from the model's behavior.
Does FleeceTide replace our AI models or enterprise applications?
FleeceTide works with compatible models you select and the business systems you already use. Its runtime adds a place for AI to implement new capabilities around those systems. SiriusCore can provide a broader AI-native enterprise application and workbench for core transactions, workflow and coordination.
Is FleeceTide a desktop assistant?
No. It is a centralized enterprise service for teams and organizations. Its runtime persists independently of one person's computer or browser and supports shared standards, isolated workloads, scheduled execution, and centralized governance.
What changes when FleeceTide is paired with SiriusCore?
FleeceTide continues to run and govern the agent. For enterprise execution, the agent works through SiriusCore as its primary application surface. SiriusCore provides the business model, valid operations, workflow, permissions, and coordination of connected systems, reducing the need for the agent harness to model every application separately.
How do we start?
Choose a report, calculation or workflow with a clear outcome. Send [email protected] the current systems, data scope, control requirements and desired timeline. ConstaVitality provides the product and enablement. Your team or an FDE or solution-provider partner guides AI-led implementation and customer delivery.
Start with one workflow
What should your application be able to do next?
Bring a report, calculation or workflow your current systems struggle to deliver. We will help assess how FleeceTide can give AI the runtime to build and operate the missing capability. ConstaVitality provides the product and enablement; FDE and solution-provider partners support customer implementation.
Discuss your use caseInclude the target process, current systems, required model providers, sensitive actions, approval requirements, deployment constraints, and desired timeline.