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Managed AI Services

AI that keeps getting better as it's used.

We manage your AI in HubSpot: training agents, ensuring governance, measuring impact, and rolling out new features. So that a successful start turns into lasting results.

Go to the AI Checklist
  • HubSpot Platinum Partner
  • Stages S and E in the LOTSE Model
  • Dedicated Point of Contact

The Starting Point

The most challenging part of the AI transformation comes after the pilot phase. Knowledge bases become outdated, prompts and rules require maintenance, and new features are released on a monthly basis. Without a clear operational framework, quality quietly declines, and so does the teams’ trust. AI is not a project with an end date. AI is an operational model.

Managed AI Services

Your stage in the LOTSE model

Managed AI Services stand for S and E: scaling and results. We stay on course as everyday operations resume: expanding proven approaches, ensuring quality, and demonstrating outcomes. And every measured result feeds into the next status report.

  1. L Situation Report
  2. O Orientation
  3. T Test Run
  4. S Scaling
  5. E Yield

Our Approach

Responsible Business Practices

We have someone dedicated to handling agents, automations, and knowledge bases. Quality remains high, even when you don't have anyone available.

Governance in Action

Roles, authorizations, and controls have been set up and are being verified. AI demonstrably operates within your defined limits.

Yield Confirmed

We measure outcomes on a quarterly basis using a before-and-after approach: time saved, reduced costs, increased revenue.

Maintained the lead

We evaluate new HubSpot AI features for your use cases and implement the ones that work best. You stay ahead of the curve without having to do the research yourself.

Here's what you'll get.

  • Ongoing maintenance of agents, prompts, rules, and knowledge bases
  • Quality Monitoring with Defined Thresholds and Alerts
  • Governance Operations: Roles, Approvals, Auditability
  • Quarterly Outcome Report for Management
  • Rollout of New Use Cases Across Teams and Departments
  • Feature Radar: Review of New HubSpot AI Features

Managed AI Services

Here's how it works

  1. Acquisition Assess existing AI setups and measure the baseline

    Result: an operating plan with initial values

  2. Operation Maintain, monitor, secure

    Result: Consistently high quality

  3. Expansion Scale what works; pilot new initiatives

    Result: Increasing Benefits Quarter After Quarter

  4. Proof Report on outcomes and plan the next cycle

    Result: Revenue that feeds into the new assessment of the situation

Mark Lotse X You

For those who are interested.

  • For companies using productive AI in HubSpot that want to maintain quality and speed.
  • For teams that have completed the LOTSE introductory project and are using the retainer as a logical next step.

FAQ

Frequently Asked Questions

How much does the Managed AI Retainer cost?

That depends on the scope and number of use cases. We clearly outline the scope during our initial meeting, even before the pilot project begins.

How do we demonstrate the value of managed AI services internally?

The Outcome Report demonstrates the benefits: Each use case includes baseline values and current values. Time saved, response times, and revenue impacts are documented in writing on a quarterly basis.

Do we retain control with AI Managed Services?

Yes, you retain full control. For us, governance means: You define the limits; we implement them technically and report back. You decide on any expansion.

Will we be able to take over operations from AI Managed Services on our own at a later date?

Yes, that is specifically provided for. We will help you build a Center of Excellence within your organization on a scalable basis. The retainer fee is tailored to your level of maturity.

Make AI a business model.

Schedule an Initial Consultation