Brokerage Agent Copilot
An assistant grounded in your listings, contracts, and standard operating procedures — reachable by text, voice, and inside the CRM agents already live in.
- Segment
- Brokerages & Teams
- Discipline
- AI Systems
- Typical build
- 8–12 weeks
- Profile
- 05 of 06
/ The problem
Agents are mobile, and the answers they need are not. Commission splits, contract language, showing instructions, and brokerage policy sit in documents nobody opens on a phone between appointments. So agents ask the broker, and the broker becomes the bottleneck.
/ Architecture
5 stages, each one observable and individually replaceable.
- 01Index
Policy documents, contract templates, listing data, and training material chunked and embedded with access rules preserved.
- 02Retrieve
Hybrid keyword and semantic retrieval with recency weighting and per-agent permission filtering.
- 03Ground
Answers cite the source document and section; the model declines rather than guesses when retrieval is thin.
- 04Act
Scoped tools for CRM lookups, showing scheduling, and document generation — each one logged and reversible.
- 05Evaluate
A held-out question set from real agent traffic, run against every prompt and model change before release.
Stack
What people actually use
- SMS and voice line agents can use hands-free
- In-CRM sidebar for desktop workflows
- Broker console showing what is being asked and where answers fall short
- Citation view for every answer given
How we know it works
- Answer groundedness on the evaluation set
- Deflection of routine questions from broker staff
- Agent weekly active usage
- Escalation rate and reason distribution
Baselines are captured during discovery so the effect of the system is measurable against the process it replaced — not asserted afterward.
/ Build this
Want one of these
running in your operation?
Thirty minutes. We map one workflow, size what fixing it is worth, and tell you honestly whether we're the right build partner for it.
Engagement profile
- First build
- One system, 6–12 weeks, production-ready
- Team
- Senior engineers only — no offshore handoff
- Stack
- TypeScript, Next.js, Postgres, Python, LLM infra
- You keep
- Source, data, infrastructure, documentation
