Share the decision
Tell us the user, current process, desired outcome, and what you need to make clear.
AI agents for real operational work—with human control
AI Agent Development Company—See the Workflow Before You Fund the Build
Bring one repetitive workflow. We map the agent's outcome, tools, data, approval gates, failure recovery, test plan and pilot cost—before you commit to development.
Private brief. No payment to request.
Registered company
RDMI Tech Ventures Pvt. Ltd.
Trust point 1Agent engineers
Workflow, tools and evaluation—not prompt theatre
Trust point 2Human in control
Approval and escalation are designed first
Trust point 3Client-owned delivery
Code, cloud and provider accounts stay yours
Trust point 4The preview artifact
See the operating design before you buy the build
A decision-ready operating design for the work the agent should finish, the systems it may use, the actions people must approve, and the scorecard a pilot must pass. It is designed to be reviewed by your team, challenged in a working session, and used to make a confident go or no-go decision.
Shaped around one real business decision
Assumptions and unknowns shown explicitly
Scope and commercial range follow the review
RDMI preview
AI agent workflow plan
What the review contains
Outcome and workflow map
The trigger, decisions, actions, handoffs, and completion criteria for one high-value agent workflow.
Tool and data plan
The APIs, knowledge sources, permissions, memory, and system boundaries required for the agent to act safely.
Guardrail and evaluation plan
Human approvals, failure handling, traceability, test scenarios, and measurable production acceptance criteria.
Pilot recommendation
A staged pilot scope, delivery assumptions, responsibilities, risks, and commercial range to review before building.
Decision gate
Continue only when the direction is clear.
1Review
2Challenge
3Approve
Preview depth depends on project fit and available context. The exact output is agreed before preparation.
A lower-risk buying process
Preview first. Approve the plan. Then build.
Each stage answers a different risk before the engagement gets larger.
Confirm the artifact
A senior specialist validates fit and agrees the most useful preview format.
Review and challenge
Walk through assumptions, risks, alternatives, and unresolved questions together.
Commit with clarity
Approve a written scope and commercial proposal only when the direction makes sense.
Delivery depth
The capability to carry a strong preview into production
The first artifact is narrow by design. The engineering, operating, and measurement depth behind it is not.
Sales and research agents
Research accounts, qualify opportunities, prepare briefs, update CRM records, and route exceptions for review.
Customer operations agents
Resolve approved requests, use support tools, create cases, and escalate high-risk or low-confidence situations.
Knowledge and RAG agents
Ground decisions in approved company knowledge with citations, permissions, freshness controls, and audit history.
Multi-agent workflows
Coordinate specialist roles where research, review, execution, and approval need separate responsibilities.
Business tool integration
Connect agents to CRM, ERP, ticketing, databases, internal APIs, documents, email, and workflow systems.
Observability and governance
Trace every run, test regressions, monitor cost and quality, control access, and keep humans accountable.
The approval gate
Know exactly what you are approving before money changes hands
The preview does not replace a contract. It makes the contract more informed by exposing the important decisions early.
1
The exact business outcome and completion criteria
2
Tools, data sources, permissions, and prohibited actions
3
Human approval, escalation, and failure-recovery rules
4
Pilot scope, evaluation set, commercial range, and production gate
A strong engagement fit
Bring one repeated workflow—not an AI wish list
You do not need every answer. You need a meaningful problem, enough context to examine it, and the ability to act when the preview is convincing.
A repeated workflow with a named owner and measurable outcome
A stakeholder who understands the current tools, data and exceptions
Clear human approval points for sensitive or irreversible actions
Authority and budget to run a scoped pilot when the design is approved
Questions before you request
Clear answers before the first call
Is the preview a generic AI agent demo?
No. It maps one workflow from your brief, including the tools, decisions, approvals, failure paths, and acceptance criteria required to make it useful in production.
Can the agent work with our existing software?
Usually, yes. The preview identifies the APIs, credentials, permissions, data contracts, and fallback paths needed before any integration is approved.
How do you prevent an agent from taking the wrong action?
We define typed tools, permission limits, validation, confidence thresholds, human approvals, audit logs, and evaluation cases before production access is granted.
What happens after I request the preview?
A senior specialist reviews your brief, confirms project fit, and agrees the most useful preview format with you. Submitting the form does not create a delivery commitment.
Do I have to hire RDMI after seeing it?
No. The preview helps both sides decide whether the direction, scope, and working relationship make sense. Delivery starts only after you approve a written proposal.
Will my information remain confidential?
Yes. We can sign an NDA before detailed discovery, and access to data or systems is agreed separately. Never include passwords or sensitive credentials in the form.
One brief. One preview. One clear decision.
See how the agent should work before you fund the build
Start with the part of the project that matters most. We will confirm the right preview format and what you can evaluate before commitment.