AgentCare

Your agents are live. Now someone has to own them.

Building an agent is the start. Keeping it accurate, affordable, and safe is the ongoing work. AgentCare looks after agents and AI native products in production, whoever built them.

AgentCare · portfolio viewIllustrative
Monitored
Every run, traced
Evaluated
On every change
Cost tracked
Per agent, per outcome
Reported
Monthly, to leadership
Why it matters

Agents fail differently from software. Quietly, and in production.

Drift

A model update ships and accuracy slips. Nobody notices until a customer does.

Cost creep

Token spend grows faster than usage. The invoice is the first warning.

Sprawl

Every team has agents. No one has the list, or knows what each can reach.

Exposure

Prompt injection, overly broad tool access, and data leaving where it should not.

Monthly subscription

AgentCare. We look after your agents, so your team does not have to.

One predictable fee per agent covers monitoring, maintenance, and steady improvement. Enroll one agent or your entire portfolio.

Step 1

Onboard

A short, fixed fee onboarding. We review the agent, add tracing and evaluations where needed, and agree the service levels together.

Step 2

Operate

From then on we monitor it, fix what breaks, and handle model upgrades and cost tuning as part of the plan.

Step 3

Report

Each month you receive one page covering reliability, cost, issues resolved, and the value delivered.

Monitoring and response

Tracing across agent runs, with alerts on failures, latency, and anomalies, and response times agreed with you.

Continuous evaluation

Regression tests run when prompts, models, or tools change, so quality does not slip unnoticed.

Model lifecycle

We test and roll out new model versions, and retire old ones, with care to minimize disruption.

Cost control

Routing, caching, and right sizing models to the task, with spend tracked per agent and per outcome.

Improvement sprints

Failures and edge cases are turned into fixes, so the system improves while it runs.

Value reporting

A monthly report tying each agent to the business measures agreed with you.

AgentCare planBest forWhat is included
EssentialOne or two agents in early productionMonitoring, a monthly evaluation run, cost reporting, and model upgrade support
ProfessionalA growing portfolio of agents and AI featuresEverything in Essential, plus continuous evaluation, monthly improvement sprints, and a quarterly governance review
EnterpriseCustomer facing or regulated workloadsEverything in Professional, plus a named lead, incident runbooks, red team testing, and audit ready reporting

Priced per agent per month. Coverage hours and service levels are agreed with you for each plan. Built by us, by your team, or by another vendor, we can support it after a review.

Get AgentCare pricing
A good place to start

Production Readiness Review

Fixed fee. We take apart one agent or AI product and tell you plainly whether it is ready for real customers and real money.

If it is not, you get a ranked plan to get there. If it should be stopped, we will say so. That candor is what you are paying for.

Book a review

What we examine

  • Architecture, orchestration, and tool design
  • Evaluation coverage and real accuracy on your data
  • Guardrails, permissions, and human approval points
  • Security, including prompt injection and data exposure
  • Cost per task and where it can come down
  • Observability, logging, and audit trail
  • Business value against the original case
Accountability

AI Governance

Your board, your auditors, and your customers will eventually ask the same question: what AI do you run, and who answers for it? We help you have a good answer ready.

Governance done well does not slow teams down. It gives them a clear path to yes.

What we put in place

  • A register of every agent, model, and AI vendor in use
  • Access and permission policies for agents and their tools
  • Approval workflows for high risk actions
  • Alignment with NIST AI RMF, ISO 42001, and the EU AI Act
  • Red team testing and incident playbooks
  • Board level reporting on AI risk and value
When it has gone wrong

Project Rescue

Late, over budget, or simply not working, and the original builder is gone or out of ideas. We step in, assess what can be saved, and give leadership a straight answer on whether to continue.

Talk to us about a rescue

What we support

  • Customer service, sales, and back office agents
  • Document processing and finance automation
  • Copilots and AI features inside your product
  • Multi agent systems and MCP based tool integrations
  • Retrieval and knowledge systems over your data
  • AWS, Azure, Google Cloud, Databricks, or your own stack
Request a briefing

Tell us what is running.

Share one agent or AI product that matters to you. A partner will tell you candidly whether a review makes sense.

Request a briefing