No-code multimodal agent delivery workspace

Reduce tool sprawl while keeping one owned agent workflow. For support and operations teams that need AI agents handling conversations and tasks without coding, convert approved knowledge sources, channel requirements, escalation rules and task definitions into a reviewed, deployable agent configuration. The benefit is a testable hypothesis, measured through resolved conversations per support hour and handoffs after deployment; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect approved knowledge sources, channel requirements, escalation rules and task definitions, then follow this sequence: 1. Build agents in a visual no-code canvas. 2. Handle text, voice, image and video in one conversation. 3. Deploy voice agents with tested turn-taking. Resolve uncertain cases with qualified reviewers, approve a reviewed, deployable agent configuration, and measure resolved conversations per support hour and handoffs after deployment against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved knowledge set and one deployment channel; final escalation and compliance checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve customer voice, source attribution, quotation accuracy and usage permissions. Support leads approve substantive changes and deployment scope. One approved knowledge set and one deployment channel; final escalation and compliance checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved knowledge set and one deployment channel; final escalation and compliance checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: build agents in a visual no-code canvas; handle text, voice, image and video in one conversation. Support the third module with operator review: deploy voice agents with tested turn-taking. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Customer-owned knowledge bases, authorized conversation logs and permitted research sources. Cloud storage, CRM and helpdesk import/export and messaging destinations. Start with file exchange and validate destination specifications before promising direct deployment. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Agent builder canvas, Knowledge and training sources, Test and quality review, Channel deployment, Live analytics and handoff. Use a thumbnail gallery for agents, a large central flow canvas, and a right-hand panel for sources, constraints and comments. Let users compare agent versions side by side. Display draft, in review, approved and live states. Provide a client preview link with comments anchored to the relevant conversation step. Make the task-specific outcome reviewed, deployable agent configuration visible beside its evidence, review state and value baseline.