ENTERPRISE AI IN-HOUSE

Build an internal AI capability
your brokerage controls

Large brokerages and REITs are standing up proprietary AI rather than depending on vendor roadmaps. Agaro helps you hire the right team, select and fine-tune models on your transaction data, and govern the system safely.

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Dashboard

Operations summary across every enterprise ai in-house module deployed in your tenant — last 24 hours.

Overview

MODULES LIVE

6

enterprise ai in-house stack

EVENTS · 24H

3.0K

99.7% first-pass

CONTAINMENT

87%

in-band

AUDIT TRAIL

100%

replayable

OPERATIONS · LAST 24H HANDLED ESCALATED

3,010 events handled

00:0004:0008:0012:0016:0020:00

MODULES · HEALTH 6 live · tap a row to inspect

Program 6 / 13 Live

Platform 8 / 8 Live

Model registry 11 Live

Evals & governance 24 Live

Team enablement 14 / 22 Live

Roadmap 47 Live

RECENT ACTIVITY Live feed · updated 1m ago

14:45

Program COMPLETE W1-4 · Target architecture — Roles · governance · model strategy

14:38

Platform LIVE Inference gateway — vLLM · TensorRT

13:31

Model registry LIVE frontier-claude-4 — Hosted · reasoning

13:24

Evals & governance APPROVED agaro-claims-7b · v2.1 — Promoted to prod

12:17

Team enablement ON TRACK Pilot pod · 8 engineers — Phase 2 · platform ops

12:10

Roadmap BUILD Claims triage agent — Quarter 4 · in flight

PROGRAM · PROGRAM

Program

90-day program tracking — operating model, platform stand-up, model strategy, eval, governance, team enablement.

Overview

Week

6 / 13

on schedule

Milestones hit

4 / 4

no slips

Stakeholders

14

across exec

Governance forum

wk 3

next session

W1-4 · Target architecture Complete

W5-10 · Platform stand-up In flight

W11-13 · Handover Planned

W14+ · Sustain Optional

BUILD · PLATFORM

Platform

Inference, retrieval, evaluation, observability, and a model gateway — deployed in your environment under your accreditation.

Overview

Stack components

8 / 8

all live

Inference RPS

142

p95 480ms

Retrieval index

4M docs

pgvector

Tenant isolation

100%

BYO-KMS · audit

Inference gateway Live

Retrieval Live

Eval gateway Live

Observability Live

Model gateway Live

BUILD · MODEL REGISTRY

Model registry

Defensible mix of open-weights, hosted frontier, and bespoke fine-tunes — chosen by capability fit, not vendor lock-in.

Overview

Models

11

3 frontier · 8 OSS

Fine-tunes

4

in prod

Routing rules

24

capability-based

Vendor concentration

32%

no lock-in

frontier-claude-4 Live

frontier-gpt-4 Live

oss-llama-3.1-70b Live

agaro-claims-7b Live

GOVERN · EVALS & GOVERNANCE

Evals & governance

The evaluation harness and governance forum your auditor and your engineers will both rely on.

Overview

Eval suites

24

continuous in CI

Pass rate

98.2%

+0.4 pts

Governance reviews

4 / 4

this quarter

Release gates · open

0

all approved

agaro-claims-7b · v2.1 Approved

frontier-claude-4 routing Approved

oss-llama-3.1 update Pending

PII redaction policy v3 Live

PEOPLE · TEAM ENABLEMENT

Team enablement

Your engineers, operators, and leadership trained — so the capability outlives our engagement.

Overview

Engineers trained

14 / 22

pilot pod ready

Pair sessions

38

last 30d

Runbooks shipped

12

this phase

Confidence score

4.2 / 5

self-reported

Pilot pod · 8 engineers On track

Operations · 6 staff On track

Leadership Active

Auditor briefing Scheduled

PLAN · ROADMAP

Roadmap

18-month capability roadmap and use-case backlog scored by value and risk.

Overview

Use cases scored

47

in backlog

In flight

12

across pods

Deferred

6

value < risk

Quarterly cadence

Live

review forum

Claims triage agent Build

Underwriting copilot Pilot

Field dispatch agent Plan

Document extraction v2 Queued

HOW IT WORKS · ENTERPRISE AI IN-HOUSE · REAL ESTATE

Built for real estate,
shipped without the complexity.

Explore the build →

Diagnostic · Acme org Discovery

Draft Deploy agent

Findings · 4 high, 6 medium, 11 low

H. Marsh Planning…

Capabilities

What enterprise ai in-house actually does for real estate.

01

Operating model

Roles, governance, eval policy, model release process — the institutional plumbing that turns AI from a project into a capability.

02

Platform stand-up

Inference, retrieval, evaluation, observability, and a model gateway, deployed in your environment under your accreditation.

03

Foundation model strategy

A defensible mix of open-weights, hosted frontier, and bespoke fine-tunes — chosen by capability fit, not vendor lock-in.

04

Eval & governance

The evaluation harness and governance forum your auditor and your engineers will both rely on.

05

Team & enablement

We train your engineers, your operators, and your leadership — so the capability outlives our engagement.

06

Roadmap & runbook

An 18-month capability roadmap, a use-case backlog scored by value and risk, and the runbooks your SRE team needs.

Specifications

Engineered to a standard, not a slogan.

Length

90-day program

Discovery → architecture → platform → handover. Optional 90-day support tail.

Deliverables

Platform + ops + team

Running platform, defined operating model, trained team, 18-month roadmap.

Deployment

Standard cloud or dedicated tenant

Scoped to your data sensitivity and compliance posture.

Models

Mixed strategy

Frontier-hosted, open-weights, and bespoke. No single-vendor dependency.

Governance

Accreditor-ready

Eval policies, release gates, incident playbooks, and the documentation that survives scrutiny.

Pricing

Fixed-fee program

Contact engineering for scope and quote.

Related Services

Modules that compose with this one.

Frequently Asked Questions · Enterprise AI In-House for Real Estate

What real estate buyers ask about enterprise ai in-house
— before they sign.

When does it make sense for a brokerage to build AI in-house rather than buy vendor tools?

It typically makes sense when the firm processes more than a thousand transactions per month, holds proprietary data that would be competitively sensitive to share with a SaaS vendor, or needs AI decisions tightly integrated with internal systems. Below that scale, vendor tools usually have a better return on investment than the overhead of an internal AI function.

How fast can real estate teams deploy enterprise ai in-house with Agaro?

A scoped pilot runs about 30 days. Full production cutover is typically 8–12 weeks, including integration with the systems brokerages, agents, and property managers already run, plus the handoff and escalation flows your team expects.

Is Enterprise AI In-House secure enough for real estate?

Yes. Agaro is SOC 2 Ready and HIPAA Ready, with role-based access controls, encryption at rest and in transit, per-deployment data isolation, and full audit logging — so the deployment meets the security bar brokerages, agents, and property managers are held to.

Deploy enterprise ai in-house
for your real estate team.

A 30-day pilot will show you the integration shape, the operator experience, and the audit trail your team will ask about — delivered by a senior engineering team that ships AI to production for brokerages, agents, and property managers.