Design, test, publish, run, and review.
Architecture & Ecosystem
Govern centrally. Execute independently. Connect openly.
Gilentic separates product governance from execution so organizations can start simply, introduce durable workflow coordination when needed, and scale individual capabilities without redesigning the experience.
Deployment architecture
A stable control plane with flexible execution paths.
The platform keeps identity, authorization, configuration, run coordination, and history consistent. Independent workers perform focused tasks, while durable orchestration coordinates longer workflows, retries, checkpoints, and parallel paths.
Authorize, configure, govern, and trace.
Run focused agents or coordinated workflows.
Preserve events, outputs, artifacts, and decisions.
Open protocol direction
A2A between agents. MCP between agents and tools.
These protocols address different integration boundaries and can complement Gilentic’s own input, output, workflow, and governance model.
Agent-to-agent interoperability
A2A provides a common way for independent agents to advertise capabilities, accept delegated tasks, exchange updates, and return results across platform and provider boundaries.
DISCOVERY · TASKS · AGENT COLLABORATIONAgent-to-tool interoperability
MCP provides a standard way for an AI application to discover and use tools, resources, and prompts supplied by connected systems.
TOOLS · RESOURCES · PROMPTSGoverned composition
Gilentic can place authorization, workflow rules, human checkpoints, run history, and marketplace controls around either pattern without passing reusable user credentials to an agent.
AUTHORIZATION · GOVERNANCE · TRACEABILITYA2A and MCP should be introduced where an integration needs them. They extend the ecosystem; they do not replace Gilentic’s native agent contracts or workflow behavior.
Connected ecosystem
Interoperability without giving up governance.
Typed inputs and outputs make capabilities understandable and composable across workflows.
Provider-hosted capabilities can participate through defined interfaces while providers retain their operating boundary.
Interactive widgets create visible checkpoints for review, correction, approval, and continuation.
Approved agents gain a product surface for discovery, evaluation, installation, permissioning, and reuse.
Execution capacity can grow by agent or workflow without changing the shared product and governance model.
Runs remain traceable across agents, orchestration steps, artifacts, and user decisions.