An AI care plan is a recurring maintenance and support retainer for AI products that are already live. It covers proactive monitoring, bug and blocker fixes, model and prompt updates, integration checks, security patching, and a scheduled health audit. It’s the AI equivalent of a website care plan: hosting keeps a site online, a care plan keeps it working properly. E2M’s AI care plans cover every AI automation, agent, and app we build for your agency, delivered white label under your brand.

Because AI degrades without anything breaking. The industry calls it drift. A provider updates a model snapshot and behavior shifts overnight. A platform changes an API schema and a tool call silently returns nothing. Months of quick prompt patches stack into contradictory instructions. A knowledge base goes stale and nobody reindexes it. No error is thrown, so nothing alerts you. Tool-call and schema drift alone accounts for roughly 31% of production AI failures, and teams without monitoring average over four hours just to work out what went wrong.

“AI Care for Your Agency” keeps your own internal automations running: the proposal generators, reporting workflows, and CRM automations your team depends on every day. “AI Care for Your Clients” is a resale line. You sell the care plan under your brand at your price, E2M does the work invisibly, and you add recurring revenue to AI projects you’ve already been paid to build. Most agencies start with one and end up doing both.

One shipped solution with a defined scope. A chatbot. A set of n8n or Zapier workflows. A custom AI agent. A client reporting dashboard. A deployed AI app. Your Account Manager maps everything we’ve delivered against the plans before you sign anything, so there’s no ambiguity about what’s covered.

Three things. A developer on retainer bills by the hour, so every fix opens with a conversation about time. They wait for you to report problems instead of watching for them. And they didn’t build it, so the first hours of any ticket go on reading someone else’s work. An AI care plan is a flat fee with unlimited in-scope tickets, includes proactive monitoring and a structured monthly audit, and is delivered by the team that shipped your product in the first place.

We’ll build you a custom plan. Talk to your Account Manager and we’ll scope a flat monthly fee based on how many products you’re running, how complex they are, and the ticket volume we’d realistically expect.

Unlimited bug and blocker tickets, proactive error-log monitoring, model deprecation and drift tracking, integration and API schema checks, prompt and configuration maintenance, credential and API key rotation, security patching, minor config changes within the original scope, a monthly health audit with a written report, and a named AI Adoption Specialist who owns your tickets end to end.

Not on in-scope work. Bug fixes, blocker resolution, config tweaks, and the monthly audit are unlimited. Anything that’s genuinely new work gets scoped and quoted separately, and that’s exactly what keeps the flat fee flat.

A five-stage pass on every covered product. We re-run the core workflows and compare output against what we delivered. We check every model against provider release and deprecation notes. We patch libraries, dependencies, and integrations. We read thirty days of error logs line by line. Then you get a one-page written report covering what we checked, what changed, and what we’re watching next month, ready to forward to your client with your logo on it.

Blockers get a first response in 2 to 6 business hours with a 12 to 24 hour resolution target. High priority is 12 to 24 hours to first response. Medium is 1 to 2 business days, Low is 2 to 3. Business hours run Monday to Friday, 9 AM to 6 PM IST. If your clients need cover outside that window, ask your Account Manager about extended SLA options.

We track release and deprecation notes for every model in your stack and flag the change well before the cutoff. Migrating to a replacement model is scoped and quoted separately, because that’s rebuild work rather than maintenance. What matters is that you’ll never find out about it from a client.

The same ecosystem we build in: OpenAI, Anthropic Claude, Google Gemini, Meta LLaMA and Mistral; n8n, Zapier, Make and Langflow; HubSpot, GoHighLevel, Salesforce and Zoho; WordPress, Shopify, WooCommerce and Webflow; LangChain, LlamaIndex and custom REST or GraphQL APIs; GA4, Looker Studio and Power BI. If your build touches something outside that list, it’s still covered as long as we built it.

Not under the standard plans. Committing to a response time means understanding a build end to end, and we can’t promise that on work we’ve never seen. If you’ve inherited an AI product from another vendor, talk to your Account Manager about a one-time audit. If it’s in reasonable shape, we can usually bring it under coverage afterwards.

Yes, and most partners do. AI care is delivered under your brand like everything else E2M does. You control the price and the margin, you own the client relationship, and we stay invisible on every ticket, audit, and report. Your Account Manager can help you package and price it.

Lead with what they can’t see. Their AI is answering questions, firing automations, and touching their CRM every day, and right now nobody is checking whether it still does that correctly. You’re not selling more work, you’re selling the assurance that the thing they already paid for keeps working. Most clients say yes the first time an audit report shows them something they’d never have caught.

Yes, and it’s some of the cleanest revenue an agency can add. There’s no new scope to sell, no discovery phase, and no hiring. You’re monetizing work already sitting live in your client accounts, and care retainers renew far more reliably than project work.

No. That’s the whole point. Your client emails you, you forward it to your specialist, and we handle diagnosis, fix, and write-up. You stay in the relationship without needing anyone on your payroll who can read a stack trace.

No. AI care plans are month to month like every E2M plan. Move between tiers in either direction as you add or retire products, and cancel any time with no notice period.

Yes. Every agency gets a named AI Adoption Specialist who owns your tickets and knows your builds, plus an Account Manager for commercial questions. We adapt to your tools and communication style, and you won’t have to chase us for updates.

Yes. We work under iron-clad NDAs, your client data is never used to train publicly available AI models, and all deliverables remain yours. Access is limited to the specialists assigned to your account.

Talk to your Account Manager. They’ll map what we’ve already delivered against the two plans, confirm which one fits, and have coverage live within a few business days. No onboarding fee, no minimum term.