Buyer guide
AI sales agents: fully managed vs. DIY platforms
The meaningful difference is not the model or feature list. It is operating ownership. A DIY platform gives your team components to configure and maintain. A fully managed service runs the agents, context, workflows, evaluation and recovery while your organization governs permissions, approvals and business decisions.
Decision frame
Compare who owns the work after the demo
A prototype can make both options look similar. The difference appears in steady state: who translates sales rules into workflow logic, keeps context current, tests changes, monitors failures, repairs integrations and proves that agent work improves a commercial outcome.
Choose DIY when agent engineering is a capability you want to build and staff. Choose fully managed when the goal is governed GTM capacity without creating another production system for RevOps and IT to operate.
| DIY agent platform | RevTech | |
|---|---|---|
| Deployment | Your team designs, connects, tests and releases each agent workflow. | RevTech configures and runs the agreed workflows against your GTM context. |
| Context | Your team builds and maintains retrieval, definitions and business rules. | RevTech manages the context layer; your team governs the source rules and definitions. |
| Quality | Your team creates evaluations, reviews regressions and tunes outputs. | RevTech operates evaluation and improvement; your team supplies acceptance criteria and feedback. |
| Governance | Your team assembles permissions, approvals, logs and policy enforcement. | Governance is part of the operating layer, with customer-owned policies and human gates. |
| Recovery | Your team owns queues, retries, exceptions, incidents and vendor changes. | RevTech owns the operating infrastructure and remediation path. |
| Improvement | A standing internal owner prioritizes and ships every change. | RevTech improves the managed service while your leaders decide where scope should widen. |
Operating model
The work moves through the same six stages
Use this flow to make ownership visible. If a vendor cannot name the owner at every stage, the missing work lands on your team by default.
- 01
Define
Set the objective, business rules, prohibited actions and success measure.
- 02
Connect
Map approved systems, records, fields, roles and sources of context.
- 03
Run
Execute the workflow with state, monitoring and bounded permissions.
- 04
Review
Route consequential outputs to the accountable human with evidence attached.
- 05
Recover
Handle exceptions, failed steps, integration changes and unsafe outputs.
- 06
Improve
Use edits, rejections and outcomes to tune quality and widen scope deliberately.
Total work
Use a total-work matrix, not a license comparison
Price is only one input. Record the internal work required to reach production, keep it reliable and govern changes. Do not invent a dollar total before finance and the operating owners supply their own assumptions.
| Use case | Question to answer | DIY owner | Managed owner | Evidence to collect |
|---|---|---|---|---|
| Workflow design | Who turns policy and process into agent behavior? | RevOps plus engineering | RevTech with customer approval | Named design owner and acceptance criteria |
| Data and context | Who maintains mappings, definitions and access? | Data, RevOps and IT | RevTech operates; customer governs | Source inventory, refresh owner and data boundaries |
| Production operations | Who monitors jobs and repairs failures? | Internal platform owner | RevTech | Support model, alert path and recovery responsibility |
| Governance | Who maintains permissions and approvals? | Security, IT and RevOps | Customer policy in the managed layer | Approval matrix, audit requirements and exception owner |
| Evaluation | Who tests quality after every change? | Internal AI or engineering team | RevTech with customer feedback | Evaluation set, human-edit signal and release gate |
| Change management | Who trains users and updates workflows? | Internal program owner | Shared: RevTech operates, customer leads adoption | Rollout plan, accountable leaders and review cadence |
TCO worksheet
Build the estimate from your own evidence
For each line, enter expected setup work, monthly operating work, the loaded cost of the accountable owner and any external spend. Keep one-time and recurring work separate. Compare the same scope and review standard on both sides.
- Implementation: integration, workflow design, testing, security review and launch support.
- Operations: monitoring, incident response, retries, vendor changes and access maintenance.
- Quality: evaluation design, human review, regression testing and prompt or policy changes.
- Governance: approval design, audit evidence, permission reviews and exception handling.
- Adoption: enablement, process changes, office hours and stakeholder reporting.
- Opportunity cost: the roadmap work delayed while scarce RevOps, data and engineering owners run the agent stack.
Buyer scorecard
Score the operating fit before the feature fit
Score each criterion from 1 to 5, record the evidence and name the internal owner who accepts the risk. Weight operating responsibility more heavily when your team does not intend to staff an agent platform.
| Use case | What good looks like | Evidence to request | Risk if unclear |
|---|---|---|---|
| Ownership | Every production responsibility has one named owner. | RACI for deployment through recovery | Hidden operating work appears after purchase. |
| Context | Agents use governed business definitions and current source data. | Context model and update process | Outputs drift from how the business actually works. |
| Human control | Consequential actions wait at explicit approval gates. | Permission and approval walkthrough | Commercial actions move without accountable judgment. |
| Observability | Leaders can inspect actions, evidence, edits and exceptions. | Audit and operating views | Quality and incidents become anecdotes. |
| Recovery | Failures are bounded, surfaced and owned. | Retry, escalation and incident process | A pilot works but production reliability does not. |
| Outcomes | Workflow KPIs connect to a business result. | Baseline, target and review cadence | Agent activity grows without commercial impact. |
Frequently asked questions
Compare the operating model against your own team.
Bring one sales workflow and the people who would have to run it. We will make the ownership boundary explicit.
Try the demo.
See agents carry the repeatable work of GTM across sales, marketing, customer success, and RevOps. Every action prepared, reviewed, and recorded. Fictional data, real product.
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