Service
Client Experience AI.
Every client gets a senior-level experience, every day.
An AI layer across intake, briefing, communication, status updates, and account management. Every client gets a senior-level experience, every day, without needing a senior person answering messages at 9pm.
What it solves
The real problem, not the pitch.
Client experience is where agencies and SMBs secretly lose revenue. Not through bad work, but through lag. The brief that sat in a drafts folder. The status update that went out Friday instead of Tuesday. The reply that waited a day because the account lead was in five meetings. The renewal conversation nobody remembered to start.
This is the most overused and least well-built application of AI in services businesses. The category is full of half-baked 'chat with your client' tools that create more work, not less. What actually moves the needle is an integrated client-experience layer that lives inside the tools your team already uses.
That's what we build. Intake that captures and summarizes in real time. AI-drafted replies reviewed by humans. Weekly status updates generated from the work you actually did. Account-health scoring that tells leadership which clients to call this week.
Deliverables
What you actually get.
Every line here is something that runs in production by the time the engagement ends. Not a recommendation. Not a slide.
AI intake and briefing
Every new project starts with a structured brief pulled from calls, emails, and past work. Ready for senior review in minutes.
Smart inbox and Slack copilot
AI drafts replies in your tone. Account leads review and send. First-response time drops from hours to minutes.
Auto-generated status updates
Weekly client reports assembled from your PM tool, time tracking, and chat. Ready to send with two minutes of review.
Account health scoring
Every client gets a weekly score across engagement, sentiment, delivery, and commercial signals.
Renewal and upsell intelligence
We surface renewal and upsell conversations at the moment they're most likely to land.
Brand and compliance guardrails
AI outputs run through your brand voice, legal boundaries, and client-specific rules before they go out.
Timeline
What the first six weeks look like.
Week 1
Diagnose
We audit your client journey (intake, delivery, comms cadence, renewal) and identify the three highest-leverage touchpoints.
Weeks 2 to 4
Build and wire in
We integrate into Slack, email, Notion, HubSpot, and your PM stack. Your team starts using the system in week three.
Weeks 5 to 6
Ship and measure
Full rollout to all accounts. First-response times, brief turnaround, and NPS get baselined. Monthly reporting begins.
Questions
Before you even have to ask.
Do clients know AI is drafting the replies?+
That's your call. Most of our clients treat AI drafts like any junior teammate's drafts: the senior always reviews before it goes out. Nothing auto-sends without human approval unless you explicitly design it to.
Will this replace our account managers?+
No. It promotes them. They spend less time on status updates and more time on strategy, upsells, and actual relationship-building.
How does this handle confidentiality across clients?+
Every client is scoped in a separate context. No data leakage, no cross-client training, no shared memory. Governance is a first-class part of the design.
What happens if a client reacts badly to AI-generated comms?+
Nothing breaks. The human review step means every client-facing message still gets a human look. And the tone and brand guardrails are tuned per client.
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Put client experience ai into your business.
A 30-minute call to scope this against your actual workflows. You'll leave with a rough plan and a rough number. No pressure either way.