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Customer-facing

AI AgentsMulti-step agents that reason, decide, and act.

Domain agents that read, decide, and act across the tools your team already uses — sales, support, intake, operations, back-office. Voice and chat. Observable, evaluable, version-controlled.

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Capabilities

What we ship inside AI Agents.

Each sub-capability is a coherent piece of the system — not a feature, not a deliverable, but a layer of the operating surface AI Agents provides.

01

Domain agents

Task-specific agents for sales, intake, operations, and back-office work.

  • Goal-driven planning with explicit tool boundaries
  • Per-domain evaluations and regression suites
  • Cost-routing across model providers per task
02

Voice agents

Native telephony agents for inbound and outbound — qualification, scheduling, follow-up.

  • Sub-second latency on enterprise SIP / WebRTC
  • Calendar, CRM, and ticketing wired at the right turn of conversation
  • Recordings, transcripts, and call-level analytics out of the box
03

Customer support agents

Tiered AI support that resolves, escalates, and learns — without a wall of bot replies.

  • Knowledge ingestion from existing tickets, docs, and conversations
  • Human-in-the-loop on edge cases, with confidence-based routing
  • Quality scoring, drift detection, and continuous evaluation
04

Internal copilots

Role-aware copilots that take action, not just answer — for ops, finance, clinical, and leadership.

  • Retrieval over your data with role-aware access controls
  • Action taking across the systems the team uses
  • Usage analytics, feedback loops, continuous improvement
05

Evaluations & guardrails

The discipline that turns prompts into systems you can stake a business on.

  • Eval harnesses, golden datasets, and acceptance gates
  • Prompt-injection and jailbreak defense layered at the boundary
  • Versioned prompts, observability, and rollback paths
Outcomes

What changes when ai agents is underneath you.

  • The work stops touching humans.

    Routine intake, qualification, follow-up, and routing happen without your team in the loop on every turn.

  • Latency, cost, and accuracy become tunable.

    We route across models per task so you get the right trade-off — not a single foundation model paying for every call.

  • You can prove what the system did.

    Observability and audit trails by default. Every decision is inspectable. Compliance and finance can read them.

Where this lands

Industries ai agents fits inside.

  • Healthcare & clinics

    Intake agents, scheduling automation, documentation copilots, and follow-up workflows that close the loop between visit and outcome.

    Read the operational view
  • Hospitality & lifestyle

    Unified guest agents, channel orchestration, concierge copilots, and operational dashboards your GM can actually read.

    Read the operational view
  • Real estate & property

    Lead routing agents, listing automation, deal-room copilots, and pipeline dashboards that respect the way agents actually work.

    Read the operational view
  • Enterprise & growing SMBs

    Internal copilots, cross-system workflow automation, and an operational dashboard the leadership team uses to run the business.

    Read the operational view
FAQ

Common questions about ai agents.

Three of the questions we hear most often. If yours is not here, ask on the call — we answer pricing, scope, and timeline questions directly.

Get started

A 30-minute call. No commitment. The first thing of value happens on the call.

Bring the operational bottleneck you’ve been pushing against. We’ll spend the first twenty minutes mapping where intelligent systems would change its shape, and the last ten on whether we’re the right team to build them.

Book a strategy call

Prefer email? Reach us at ceo@modellinkai.com