Hire your first AI employee.

RidgeHQ turns digital work into managed agents connected to your tools: inboxes, daily reports, knowledge work, and back-office workflows.

Start with the work stealing the most time. We map the path from intake to production.

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Live in production Next Level Sports

Live production · updated monthly Read the Next Level Sports story

1,942

Drafts shipped

59%

Approved as-sent

35%

Rewrite rate

Live agents

141 KB

Articles ingested

These five numbers are from the first eight months of helpdesk drafting in production at Next Level Sports — a youth sports operator running 80+ programs across 11 states. Approval rate climbed from ~30% in week one to 59% by month three. The broader agent team is now expanding into finance and program configuration roles, which carry their own in-rollout timelines rather than these helpdesk metrics.

What your agent can own

Start where time leaks. Add more as it works.

Next Level Sports runs RidgeHQ across customer support, operations, finance, and program configuration work — 1,942 support drafts shipped, with finance warehouse work now in rollout.

Customer operations

Helpdesk drafting in Front, Zendesk, or Intercom
Refund and dispute response drafts
Order-status and return-response drafts
Policy lookup with source notes
Escalation rules for edge cases
Weekly approval-rate review

Inbox & internal coordination

Email triage and reply drafting
Follow-up tracking and reminders
Meeting brief preparation
Document organization and filing
Internal request routing
Inbox protection and escalation rules

Finance & back office

AR and AP follow-up
Expense tracking
Reconciliation drafts
Vendor invoice review
QuickBooks and Bill.com syncs into BigQuery (in rollout)
Scheduled financial reporting

Knowledge, research & reporting

Internal research and synthesis
Knowledge-base ingestion and Q&A
SOP creation and maintenance
Slack reports and digests
Market and account research
Drafting RFPs and proposals

Get Started →

Inside the partnership

Every agent has work you can see. Manage them like teammates. Read every draft like a manager.

Two surfaces, one product. The dashboard shows every workflow at a glance. The chat surface shows what the agent did, why, and where the guardrail kicked in — so review takes minutes, not hours.

01 · Manage

Every workflow on a single screen.

Approval rate, drafts shipped, escalations — per agent, per week. Add the next workflow when the first one is ready. Pause anytime; the agent and its memory carry forward.

RolesClear ownership. R.I.D.G.E. on every card.
StatusActive, drafting, awaiting review, paused.
SignalApproval rate is the metric. We optimize it weekly.

Alfred

Front · Helpdesk drafting

Drafting

Drafts today: 142
Approval: 94%
Avg latency: 8s

Selina

Front · Refund & dispute drafting

Awaiting review

Drafts: 6
Approval: 92%
Pending: 2

Frank

Slack · Daily deposit report

Idle

Runs / wk: 7
Approval: 99%
Last run: 9:00 AM

Mockup · app.ridgehq.com Agent management — every role you delegate gets a card, a status, and a weekly review row.

02 · Review

Every draft shows its work.

The agent thinks out loud: which tools it called, which KB article it cited, which guardrail it hit. Approve, edit inline, or kick it back — weekly review is built into the surface.

ReasoningEvery step the agent took, in order.
Tool callsInputs and outputs — nothing hidden.
GuardrailsIf a rule fires, you see it before send.

FRONT · TICKET 4821

Refund request — order #20488

Drafted · awaiting send

Customer · Marcus T. 9:42 AM

Hi — this is Marcus. I signed up for the spring camp two weeks ago and our schedule changed. Can I get a refund or move my son into the June session instead?

Order #20488 · $349
Reasoning 9:42 AM · 1.4s
- Looking up order in Stripe…
- Order #20488, $349, paid 14 days ago — within refund window.
- Checking refund policy in KB → spring sessions are transferable.
- Decision is out of scope (refund > $50 threshold) → flag for human approval before send.

stripe.lookup_order 200 · 280ms

order_id: "20488"
amount: 349.00
paid_at: "2026-04-12"
refundable: true

kb.search 3 hits · 110ms

query: "refund or transfer between sessions"
top: "Spring → Summer transfer policy (2026)"

Selina Drafted reply 9:42 AM
Hi Marcus — sorry the schedule shifted on you. Two options for #20488:
- Move into the June 17 session at no charge — same coach, same ratio. We hold the spot until Friday.
- Full refund of $349 to your card on file. Posts in 3–5 business days.
Which works better? Either way, I’ve flagged your account so the change won’t take more than one back-and-forth.

— Next Level Sports
Cited: Spring → Summer transfer policy (2026), Refund window — Stripe
Awaiting reviewer. Refund > $50 → escalate before send (per guardrail).

Mockup · app.ridgehq.com Agent chat — every draft shows its reasoning, the tools it touched, and where the guardrail kicked in.

A note on these screens Illustrative. Real agents run inside the tools you already use — Front, Slack, Gmail, your KB. The Ridge HQ console is where you and your reviewer see the work.

How it works

Three steps to reclaiming your time.

Get Started →

01

Tell us the role.

Answer ten questions about the work, tools, handoffs, and what "good output" means. We turn that into your Agent Onboarding Plan.
02

We build in shadow mode.

The agent reads from the real stack, drafts against real context, and stays behind human approval while the role earns production trust.
03

Review weekly. Add the next role.

Approval rate, rewrites, escalations, and missed context drive the iteration loop. Add the next agent when this one has earned it.

The RidgeHQ model

Hire an AI employee. Keep RidgeHQ as the manager.

You do not buy a blank tool and hope your team finds time to operate it. We build the role, run the weekly review, and make the agent better as real work moves through it.

Role first

We define the job before we build: inputs, decisions, guardrails, escalations, and what good output looks like.

Managed by RidgeHQ

We connect the tools, tune the prompts, review the misses, and keep the agent improving after launch.

Earns production trust

The agent starts behind human approval, learns from edits, and expands only when the work proves it.

Get Started

· One agent connected to a real production workflow· R.I.D.G.E. card for decisions and guardrails· Weekly review until the role compounds

Security & support

Your data, systems, privacy, and peace of mind are protected.

Scoped access

Agents receive the narrow tool permissions required for the role, not blanket access to your stack.
Credential and data protection

Credentials live in a vault. Foundation models receive only the task inputs they need to draft or reason.
Audit-ready operations

Every draft, tool call, edit, approval, and escalation is logged so review has a reliable trail.
Operational support

Your agent is not left alone. RidgeHQ owns prompt updates, evals, weekly review, and guardrail changes.

We're not SOC 2 certified yet. If that's a hard requirement, we're not the right fit at this stage. We'll tell you before kickoff rather than pretend.

Use case / industry

Youth Sports Operators

Registration, refund, and schedule questions get drafted from the same program rules.
Parent inbox spikes move through the queue during camp, tournament, and season-launch weeks.
Rosters, waivers, order status, and location policies stay consistent across programs.
Daily deposit reports run on Slack today, with QuickBooks and Bill.com warehouse syncs in rollout for the finance role.
Real questions expose KB gaps, so each weekly review improves the next draft.

Read the use case →

Use case / industry

Healthcare & wellness

Appointment requests, intake follow-ups, and billing questions get a first-pass draft.
Recurring admin queues move with clear escalation rules for anything sensitive.
License renewals, vendor follow-ups, and internal reminders stay on the radar.
Patient or client-facing language stays reviewed before anything leaves the team.
Weekly review separates routine coordination from work that should remain human.

Read the use case →

Use case / industry

Owner-led businesses

Managed agents hold inbox, ops, reporting, and back-office roles inside the business.
Customer emails, form fills, and Slack asks get drafted from the rules your team already uses.
Invoices, refunds, status checks, and vendor follow-ups arrive organized for review.
Daily reports, handoffs, and owner updates land in a consistent format.
Weekly review turns real work into the next better draft, then the next role.

Read the use case →

Choose the right tool for the work

No category fits every job. Here's where each one wins.

Roughly the same cost as one mid-level hire, with all the pieces of a managed retainer baked in — and a fraction of the time-to-first-output.

	RidgeHQ Agent Managed AI agent on retainer	DIY AI tools ChatGPT, Lindy, Zapier, Claude Projects	Adding headcount New full-time hire or contractor
Cost / month	Starts at $4,000	$20–200 in subs + your time	$6,000–10,000 fully loaded
Hours covered	Async; runs on schedule or trigger	Whenever you remember to use it	40 hrs/wk, your time zone
Onboarding	Days	You build it from scratch	Weeks-to-months (recruit / interview / train)
Holds a role	Yes — owns defined work and learns over time	Generic, no role memory	Yes
Compounds	Yes — we own the iteration loop	Compounds — if you maintain it	Yes — over months / years
You manage	Outputs (we manage the agent)	Everything	The person + the work + the career
Expands beyond the first workflow	Add more agents anytime	Add more prompts	Hire more people
Best for	Digital work with clear inputs, tool access, and audit logs	One-off prompts, exploration, personal productivity	Human judgment, ambiguous work, real-time presence
Where it loses	Ambiguous human work, real-time presence, in-the-moment judgment	Anything you forget to maintain	Cost, throughput cap, onboarding lag

Pricing

Simple, predictable cost. No quote-form gymnastics.

One managed agent on retainer. We shape the first deployment on intake — no quote without understanding the work.

Less than half a mid-level hire

$4,000 / month, starting

Final scope set on intake. Pause anytime — unused days carry forward.

Get Started → Reviewed within 48 hours

One production agent connected to your tools
Weekly review + ongoing iteration
Integrations into the tools you already use
Audit log + monthly outcome report
Add-on agents at lower marginal cost

FAQ

Frequently asked

01 What is a RidgeHQ agent?

RidgeHQ turns digital work into managed agents connected to your tools. The agent reads from your stack, drafts in your voice, escalates when it should, and improves with weekly review. It doesn't book your kid's haircut. It's a cognitive prosthesis for the work you shouldn't be doing.

02 How is this different from ChatGPT or a generic AI tool?

A foundation model is the engine. An agent is the role. We pair the model with your data, your tools, your guardrails, and someone (us) who owns making it better. ChatGPT compounds if you maintain the prompts. We compound because we own the iteration.

03 Why managed instead of self-serve?

Two reasons. First, the iteration loop matters more than the prompt — and most operators don't have time to run it. Second, agent failure modes are subtle (silent drift, edge-case wrongness). Someone needs to watch.

04 What's R.I.D.G.E.?

Our delegation framework. Role (what the agent owns), Inputs (what it reads), Decisions (what it can decide on its own), Guardrails (where it can't go), Escalations (when it has to ask). Every agent ships with all five filled in. You review and adjust weekly. Full treatment at /r-i-d-g-e.

05 Who runs my agent partnership?

A two-person team at RidgeHQ — full-stack builders, hands on. No layers, no offshore pool, no BPO. The partnership is direct: you, your agent, us.

06 How long until the agent is producing?

Days. Onboarding call → scoping → build → ship inside your stack. Most agents start around 70% approval and hit 95% within four to six weeks of weekly review.

07 Pause? Cancel?

Pause anytime. Unused days carry forward. Cancel anytime. We archive the agent so you can pick up where you left off if you come back.

08 What about SOC 2?

We're not SOC 2 certified yet. If that's a hard requirement, we're not the right fit at this stage — we'd rather tell you on the intake call than pretend.

09 Limited cohort — what does that mean?

We onboard a small number of customers per cycle so we can do the iteration loop properly. Intake is reviewed within 48 hours. If we're full, we'll tell you the next cohort window.

10 What if we use a tool you haven't integrated before?

Describe it on intake. If it has an API, we can usually wire it up. If it doesn't, the agent can often work it through a browser, the way a person would. If neither, we'll tell you honestly.