Why Prospects Stall on AI Agent Production Readiness
Most prospects do not stall on AgentDesk because of price. They stall because they cannot picture what AI agent production readiness actually looks like in their environment.
What exactly happens in week one? When does our team need to be involved? When does something show up in your environment? And what is in your hands at the end?
If those questions stay open, the deal does not move. As a result, it does not matter how good the offer is.
So here is the AgentDesk Pilot, week by week. No abstractions. No marketing arc. Just the calendar, every phase, what we do, what you do, and what you walk away with.
AI Agent Production Readiness: The Frame
Before getting into the calendar, the shape of the engagement is worth naming.
First, the price is $10,000 flat. Not an estimate. Not a starting point. The number on the invoice at the end matches the number on the invoice at the start.
Second, the timeline is six weeks of calendar time. Not “six weeks of effort spread over a quarter.” Six weeks from kickoff to live agents.
Third, the output is two to three production agents running in your Microsoft environment. Not a demo. Not a prototype. Live agents your team uses.
Finally, you also walk away with a documented, prioritized, credit-estimated backlog of the next ten or more agent opportunities. The backlog is ready to move the moment the Pilot ends.
That is the offer. Here is how the calendar runs.
Week 1: Environment Readiness Check
Week one is not a build week. Instead, it is a verification week.
Before we write a line of agent code, we go into your tenant and check four things. First, your licensing posture across Copilot Studio and Power Platform. Second, your governance configuration, including the DLP policies governing the connectors agents will use. Third, your connector setup and service account permissions. Fourth, your Dataverse baseline and the schemas your agents will rely on.
At the end of the week, you receive a written report with a green, amber, or red rating on each area.
Green means your environment is ready. Therefore, we move directly into build.
Amber means there are gaps to close inside the Pilot timeline. As a result, we document exactly what those gaps are and who owns each one.
Red means there is a foundational issue that would prevent a production agent from running reliably. This is rare. However, when it happens, you hear about it in week one rather than week five.
The $10K covers the Readiness Check. It is not an add-on. It is not a sales tool. And it is not optional. In fact, it is the entire reason agents we build stay running in production.
What this removes from your worry list: the chance that you discover five weeks into the build that your tenant is not configured to run what you just paid for. Most AI engagements find that gap during go-live. By contrast, we find it on day three.
Deliverable: Written Environment Readiness Report.
Weeks 1 to 2: Agent Strategy Session
In parallel with the readiness review, we run a two-hour working session with your team. Although the session is short, its job is significant: turn a pile of agent ideas into a prioritized list with the first two or three builds locked in.
We do not generate the ideas from scratch. Most organizations we work with already have them. For example, some come from the COO. Others from IT. Several from operations. A few surfaced after a Microsoft demo. The challenge is not idea generation. Rather, the challenge is choosing the right first builds.
We evaluate every candidate against four criteria: business impact, implementation complexity, data availability, and governance readiness. By the end of two hours, two things are true. First, we agree on the first two or three builds in writing. Second, we document the next ten or more candidates as backlog.
What this removes from your worry list: the political conversation about which use case goes first. By the time the session ends, the decision is locked. In addition, we name the sponsor, approver, and operator of each agent.
Deliverable: Agent Strategy Report with prioritized backlog and approved build list.
Weeks 2 to 5: Build and Test in Production
This is where we build the agents.
In your tenant. Against your real data. Using the Copilot Studio, Power Platform, and Dataverse footprint you already have.
A lot of consulting engagements build in a separate development tenant, demo against synthetic data, and then port to production at the end. However, that model is exactly what creates the gap between “the demo worked” and “the agent works for our team.” We skip the staging tenant entirely. Instead, we build where the agent will live.
The build cadence includes weekly progress check-ins of 30 minutes, async-friendly if your team cannot meet live. In addition, we share a build log with current status, open decisions, and resolved decisions visible to your stakeholders in real time. Finally, we run intermediate testing against real data before the go-live review.
If something surfaces during the build that changes the scope of a use case, we tell you immediately and agree on a path forward. For example, a data quality issue, a governance constraint, or a more complex integration than the Strategy Session anticipated. We do not let scope drift quietly and surprise you at the end.
What this removes from your worry list: surprises at go-live. If anything is going to change, you hear about it the week it surfaces.
Deliverable: Two to three production-ready agents, built and tested in your environment.
Weeks 5 to 6: Go Live and Backlog Handover
Go-live in the AgentDesk model does not mean “we deployed something.” Rather, it means your team is using the agents.
Week five is when the agents move from “the team has been testing” to “the team is actually working with.” First, we run a team walkthrough. Then, we hand over the operational documentation. Finally, we confirm production behavior. Adoption gets attention proportional to how hard it is, which is to say a lot.
Week six is when the backlog becomes the pipeline.
You receive the full credit-estimated backlog from the Strategy Session. We rank every candidate. We size every candidate. Every candidate is ready to queue.
As a result, there is no new scoping cycle. No new contract. Procurement does not start over. We have already done the work that takes most engagements another quarter to start.
What this removes from your worry list: the cliff at the end of the engagement. Consequently, there is no “what happens now” gap. We have already pre-scoped the next builds, and they are ready to start.
Deliverable: Production agents in use, operational documentation, and the full credit-estimated backlog.
What You Walk Away With After Six Weeks
To name the deliverables explicitly:
- Two to three production agents that your team uses every day in your Microsoft environment.
- An environment readiness report your IT leadership can act on.
- An agent strategy session that produces a prioritized backlog with rationale.
- Ten or more next-step agent opportunities, each with a credit estimate.
- Full documentation your team owns for every agent we build.
- A deployment blueprint your team can use to submit and track future builds.
- Early usage and adoption data on every agent that went live.
That is what $10,000 buys: AI agent production readiness, fixed, in six weeks.
After the Pilot: From Production Readiness to Continuous Delivery
The Pilot converts naturally to a monthly subscription. By the end of week six, you have agents running and a backlog your team helped build. As a result, the subscription decision is not a new sales process. Rather, it is a decision about which tier matches the velocity you want to maintain.
- Starter at 10 credits per month and one to two active builds.
- Growth at 25 credits per month and three to five active builds.
- Scale at custom pricing for 50 or more credits and six or more active builds.
There is no obligation to convert. If the Pilot does not demonstrate the value, we would rather know than carry a subscription nobody uses.
What the AgentDesk Pilot Will Not Do
A few things this engagement is explicitly not.
First, we will not build in isolation and surprise you at go-live. Progress stays visible the whole way through.
Second, overpromising what a use case can deliver is not the model. If scope needs to change, we say so the week it surfaces.
Third, sandbox-only agents are not on the table. The AgentDesk Pilot has one definition of “done”: AI agent production readiness.
You Now Know What AI Agent Production Readiness Costs
A fixed scope. A fixed fee. A six-week calendar. Two to three production agents. And a documented backlog ready to move.
If that looks like something your organization can commit to, the next step is one conversation. If you want to validate fit before you talk to us, the five-minute AgentDesk assessment identifies your best starting agents and gives you a starting credit estimate.