Named business owner
Someone inside the organization is accountable for the workflow and the agent’s continued usefulness.
Product · Agentify
Part of AI Agents & Automation
Choose one workflow worth changing. We design, build, test, govern, and launch a production agent on the Microsoft platform—with a named owner, clear human approval points, telemetry, evaluation, documentation, and a runbook your team keeps.
One workflow, all the way to production
Launchpad is intentionally narrow. We do not start by promising an “agentic transformation.” We start with one workflow that has a clear owner, repeatable inputs, defined boundaries, and an outcome leadership can measure.
The objective is not to prove that AI can generate something. The objective is to put one useful agent into production with the operating pieces around it.
What production means
Someone inside the organization is accountable for the workflow and the agent’s continued usefulness.
The agent’s permissions, tools, actions, data boundaries, and human approval points are documented before launch.
A test set and acceptance criteria establish what “good enough” means before production.
The agent is registered and governed using the Microsoft controls available and licensed in your environment, including Microsoft Agent 365 where applicable.
Usage, failures, escalation patterns, cost signals, and the selected business measure are instrumented to the extent the platform supports them.
You receive the documentation required to understand, operate, change, or hand off the agent.
The Launchpad method
01
Confirm the workflow, owner, value hypothesis, boundaries, data, systems, and approval model.
02
Define the agent behavior, tools, knowledge, identity, security, human checkpoints, evaluation suite, and target operating environment.
03
Implement in Copilot Studio, Power Platform, Microsoft Foundry, or the appropriate Microsoft architecture for the use case.
04
Run functional, security, edge-case, and evaluation testing. Tune until the agent meets the agreed acceptance criteria.
05
Deploy to the approved users and workflow, establish telemetry, train the owner, and hand over the runbook.
06
Decide whether to operate the agent internally, move it into Managed AgentOps, or use what was learned to qualify the next agent.
On pricing: You get a fixed fee in writing after the scoping conversation, before any build work is committed. We do not publish a price for this engagement because the scope varies enough that a headline number would mislead more than it helps.
Agent Launchpad is a fixed-scope project. Scope, timeline, required access, and fee are confirmed before kickoff. Microsoft licensing and platform consumption are separate and sized to the architecture.
Microsoft programs may help fund or accelerate eligible engagements. Availability, customer eligibility, workload eligibility, and investment amount depend on Microsoft’s current program rules and are confirmed before scope. Microsoft funding is not guaranteed.
Start from a pattern, not a blank canvas
Agent Kits are reference patterns for common workflows—not separate products competing with Launchpad. Current patterns may include knowledge and policy Q&A, intake and routing, research and synthesis, constituent or stakeholder support, board and reporting preparation, and donor or relationship intelligence.
Every implementation is scoped against your data, process, policies, systems, and human-control requirements.
In the first three cases, use the 90-Day AI Roadmap first.
Adjacent products
Deterministic work
When the workflow is primarily rules, forms, approvals, and deterministic system actions, Power Platform automation is often the better answer.
See CompleteCare Automate →After launch
When agents are in production and the fleet needs ownership, governance, performance, cost visibility, and lifecycle discipline.
See Managed AgentOps →Personal productivity
When the value is in what people do inside Microsoft 365 rather than a persistent agent acting on a business process.
See Copilot Kickstart →Questions
The offer is designed around human accountability. The agent may prepare, route, analyze, draft, retrieve, coordinate, or execute within approved boundaries. Decisions that require judgment, approval, or organizational accountability remain human where the workflow requires them.
No. Copilot Studio is often the right platform inside Microsoft 365, but the architecture should follow the workflow. Power Platform, Microsoft Foundry, Azure services, or other Microsoft capabilities may be used where they fit.
You retain the agent definitions, documentation, runbooks, configuration, and other deliverables defined in the SOW.
Operate internally, move the agent into Managed AgentOps, or qualify the next workflow. The first agent should teach the organization how to build and operate the second one better.
Tell us about the workflow, who owns it, and what outcome would make it worth changing. We confirm fit and scope before any build work begins.
Still deciding where AI belongs? Get Your 90-Day AI Roadmap →
A senior member of our team will reach out within one business day to talk through the workflow and confirm fit.