When the base license is only the foundation.

Tools built against the systems only you have.

You have an internal order system, a scheduling engine, or a pricing rulebook the agent needs to reach, and no appetite for writing the integration yourself.

• Schema design for each action the agent can take
• The HTTP endpoints, or adapters onto the ones you already have
• Failure handling, so a downstream outage is a graceful answer rather than a dead call
• A test suite you keep

One protocol endpoint over your internal systems.

You want your agents, and any other client that speaks MCP, to reach internal systems through one governed surface rather than a growing pile of bespoke integrations.

• An MCP server over the systems you nominate
• OAuth 2.1 with the scopes and consent model your security team will accept
• A tool surface designed for a model to use safely, not just an API mirror
• Deployment onto your infrastructure, and the runbook for it

A delegation graph that cannot loop back on itself.

One agent is not enough. You need several, each handing multi-step work to the right Orchestrator, and a design that stays legible as it grows rather than a tangle nobody can trace.

• A delegation map across your agents and Orchestrators, drawn before anything is built
• Boundaries for what each Orchestrator is allowed to touch
• Model selection per Orchestrator, chosen for the job rather than defaulted
• A naming and ownership convention your team can extend without us

A persona that behaves, and a suite that proves it.

The agent works but does not sound like you, or it is right most of the time and you have no way to know when that changes.

• Persona and instruction design, including the refusals
• An eval suite built from your real conversations
• A regression run you can execute before every prompt change
• Handover so your team can extend it

Into the architecture you already have.

AiFlow has to sit alongside an existing CRM, ticketing system, data warehouse, and identity provider, and nobody wants a parallel stack.

• Integration design across your existing systems
• SSO against your identity provider
• Webhook and event wiring into what you already run
• A migration plan with a rollback at every stage

Off the meter, without starting again.

You are on Vapi, Retell, Bland, or Synthflow and want to stop paying per minute.

• Translation of your existing prompts, flows, and tools
• Phone number porting or forwarding, planned so nothing drops
• A parallel run against live traffic before you cut over
• A cost model showing what the move actually saves at your volume

Installed, hardened, and handed over.

You bought it and would rather not be the one who learns Docker networking at midnight.

• Installation on your infrastructure, cloud or on premises
• TLS, backups, monitoring, and log shipping into what you already use
• Air-gapped deployment where the environment requires it
• A high availability design, which is an engineering engagement rather than a setting
• A runbook and a handover session

An engineer who knows your deployment.

You want ongoing capacity rather than a project: new tools as they are needed, evals kept current, and someone who already has the context when something breaks.

• A named engineer with agreed monthly hours
• Priority response ahead of the standard queue
• Quarterly review of prompts, evals, and cost
• Hours that roll into the next month rather than expiring