Run by us. Approved by you.
How it works
We find where customers, leads and time are being lost, fix the system for you, and show the work every week. Trained AI agents do the repetitive work — supervised by a specialist, and approved by you.
From scan to weekly progress
Run the free scan
A 2-minute score of your Google profile, reviews, website and listings.
Get your report + $8.99 audit
See the gaps, then the deeper business-specific plan and priorities.
Choose a plan
Pick the level of work you want handled — from $149/mo, Otto included.
Grant access
Connect the profiles/channels we work in. You keep ownership of every account.
We onboard your agents
Baseline work starts day one; full agent training typically takes 2–3 weeks.
You approve what matters
Public-facing work is drafted for your one-tap approval — nothing risky ships alone.
See weekly progress
A plain-English report of what shipped and how your presence moved.
See the system work
From business signal to finished work.
Choose a workflow to see how the scan, agents and human approvals connect into one operating rhythm.
Muted by default · captions included · tap play controls anytime
Report workflow
Move from score to the next best action.
The scan organizes what customers can see, what deserves attention and where to start without turning the report into another dashboard to manage.
- 01See the overall picture
- 02Open the evidence
- 03Compare market context
- 04Choose the next action
A clearer first decision before you spend more on marketing.
Built for a working business
Automate the gaps.
Keep the people.
We do not make your business work like software. We make software work with your business. A trained agent captures the signal, structures it and routes it into an accountable process, giving your team more capacity without removing human context or control.
Quick message
A customer issue or team update
Voice note
A 30-second end-of-day check-in
Photo or file
A supply note or marketing asset
Trained agent layer
Less effort between signal and action
- 01Capture
- 02Structure
- 03Route
- 04Confirm
The agent works inside configured rules. Missing context and sensitive decisions return to a person.
Task or CRM note
Structured details reach the system of record
Owner summary
The exception is visible without chasing a report
Your team gets stronger
People keep context, decisions and accountability
Channels and system connections are configured per business. Examples shown here do not imply every integration is active by default.
Improve first. Replace only when it earns its place.
Agent onboarding — the first weeks
Base work starts on day one. Full agent onboarding typically takes 2–3 weeks — this is a typical window, not a guarantee; it varies with your digital maturity, data quality and how fast approvals happen.
Training timeline
A managed ramp, not an instant switch.
Day 1
Connect + begin
Connect available channels and begin baseline/manual delivery.
Week 1
Map business truth
Goals, FAQs, services, policies, escalation rules and approved sources.
Weeks 2–3
Train, test + tune
Run real scenarios; a professional reviews failures before permissions expand.
Ongoing
Measure + improve
Review edge cases, retrain and expand permissions gradually.
AI agents don't replace judgment
Every agent is trained and supervised by a specialist. Four roles, always:
Four-actor operating model
The agent works inside a human-owned system.
Business owner
Supplies truth
Goals, services, policies and final business decisions.
Agent manager
Trains + supervises
Builds scenarios, reviews failures and controls expansion.
AI agent
Performs repetitive work
Drafts, monitors, routes and reports inside approved limits.
Customer / system
Receives the outcome
A response, update, booking path or completed task.
Model-flexible by design
Claude, GPT or Gemini — whichever fits the job.
We test recognizable model families and manage the choice, fallback and future switch for you.
Who does what
Responsibility + access
You set the truth. We run the system.
Your responsibility
- Business goals and approved offer
- Policies, edge cases and escalation rules
- Approvals for higher-risk actions
DigitalFunnels responsibility
- Configure channels and task boundaries
- Train, test and review failures
- Run recurring work and report progress
Access ladder
1. Observe
Read public or connected signals
2. Draft
Prepare work for review
3. Act
Publish/respond only when approved
Account ownership: your business remains the owner of its accounts and connected assets.
Cancellation: exact timing and handoff terms remain in the selected plan and legal terms.
How your data is handled
Personal details are redacted before anything reaches an AI model, and you keep ownership of every account. Here's exactly how information moves through the system.
How your data is handled
The AI gets a task, not your whole business.
The privacy standard is designed to be enforced at our gateway, independent of which approved AI provider performs the task.
Minimum necessary
The gateway is designed to send only the task-specific slice.
Identifiers become tokens
The gateway is designed to replace names, phones and emails before external processing.
Sensitive work has another route
Regulated content is designed to stop or return to a human/approved environment.
Identity stays outside the model
The token map is designed to remain inside the DigitalFunnels system boundary.