Personal agents are your newest channel. Turn every agent visit into a customer relationship.
Your customers now send personal agents to book, buy and reorder for them. Ambipath gives your brand its own agent to meet them, so every visit is verified, kept inside your rules, and answered with exclusive, personalized offers in your brand’s personality.
Personal agent visits to your brand
Every request a personal agent makes is a visit to your brand.
Personal agents book, reorder, change and buy across every kind of brand. Each request is a chance to recognize the customer or lose them to a line of text.
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HotelHark
book a king room in Denver for the 14th
Member rate$378 for two nights, 4,200 points -
ApparelDots
reorder my running socks, same size
ReorderedMember free shipping, 90 points -
AirlineSoar
switch me to the 4pm flight
Sent to the customer$75 fee or 7,500 miles -
Fitness studioInstinct
move my Thursday class to Saturday
Moved to Saturday, 9:00Your usual bike is held -
GroceryMuse
add oat milk to Saturday’s delivery
AddedMember price, $3.49 -
ElectronicsUnknown agent
save a new card and buy the headphones
Stopped by your rulesNew cards need the customer -
Car rentalTab
keep the car two more days
ExtendedGold rate, no change fee -
RestaurantMuse
get my usual for 12:30
Your usual, ready 12:38115 points to your next reward -
BeautyDots
restock my moisturizer
ReorderedFree sample added for members -
Pet suppliesInstinct
refill the dog food subscription
RefilledSubscriber price, $54.20
Personal agents are taking off, and the people who try them keep using them.
When a personal agent buys or books, the customer never opens your app or your site. Your brand sees only the checkout unless your own agent meets theirs.
1,700%
more daily requests from AI agents than a year ago
73%
of new Muse users came back the next day, against 41% for ChatGPT. A week in, Muse was still ahead.
MuseChatGPT
$190B+
of US online spending through AI agents by 2030, up from $21B this year
Ambipath identifies each agent, checks it, briefs it, and brings your customer back to you.
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1
See which agent acted for which customer.
Ambipath separates agent visits from customers browsing on their own. For each agent visit you see the agent and the customer who sent it.
Most agents browse your site like any shopper and never say what they are, so your analytics count them as people today.
Visits to your siteExample: apparel storeCustomer browsing new arrivalsCustomerMuse for a member, trail runners in size 9AgentCustomer on the returns pageCustomerDots for a member, reorder of running socksAgentUnknown agent for a member, tried to save a new cardStoppedAgents, 4.1% of orders this monthCustomers -
2
Agents follow your rules.
When an agent gets an order wrong, your customer blames you. You set what an agent may do alone and what goes to the customer, and Ambipath stops only the actions that break a rule.
Every other agent keeps buying, and Studio logs each stop with the rule behind it.
Rules for agentsYour brandPurchases up to $150Reorders and saved itemsAgent decidesAsk customerChanges with a feeFlights, stays, bookingsAgent decidesAsk customerSwaps when an item or seat is goneSame price or up to $10 moreAgent decidesAsk customerNew payment methodsAdding or saving a cardAsk customerNeverStopped at 11:04. An agent tried to save a new card on a member account.Rule: new payment methods. The order went through on the member’s stored card.
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3
Agents find exclusive, personalized offers for the customer.
Ambipath gives the agent this customer’s member price, points, exclusive offers and saved preferences. The agent weighs them when it books, and the customer earns points on every agent order.
Agents see the same prices your own site shows that customer.
What Hark can seeExample: hotelKing room, 2 nightsDenver, the 14th to the 16th
$458$378- Rewards
- Earns 4,200 points. Gold member, breakfast included.
- Offer
- Late checkout at 2pm, members only.
- Preferences
- High floor, away from the elevator.
- Today
- 3 king rooms left at the member rate.
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4
Agents carry your brand’s personality.
Ambipath gives the agent your brand’s personality: how you greet a regular, what you celebrate, what you never say. The same request sounds like you and nobody else.
MuseSame request, three brandsreorder my running shoes, same size
Done. Same shoes in size 9, out tomorrow. Your last pair ran 400 miles, so these have big shoes to fill.
Your Cloudrunner 4 in size 9 is on its way, with complimentary next-day delivery for Platinum members.
Ordered. Size 9, $89.99 with your member price. Arrives Thursday.
RidgelineHalden & Co.BrightmartIn MuseFresh legs for Saturday.
Thank you for shopping with us again, Dana.
You saved $20 today.
Saturday group runFree for members, 7amJoinComplimentary gift wrapA Platinum perkAddRunning socks, 3 pack$9 for membersAdd -
5
Bring the customer to your app for the decisions that matter.
Some choices belong to the customer. Ambipath sends them a notification that opens your own screen. They decide in your app, and the agent finishes the job.
- A change with a fee
- A flight change, a late cancel
- A choice that needs pictures
- Two rooms, two seats, two sizes
- An order over their limit
- Anything above what they let the agent spend
- A step only their phone can do
- A payment check, an ID check
Approve your flight changeSoar found a 4:05pm aisle seat. $75 or 7,500 miles.Your brandChange to the 4:05pm flight
Soar found an aisle seat, Denver to Austin. Changes with a fee need you.
Pay the change feeCard ending 4417$75Use milesYou have 31,2007,500Departs4:05pm, DenverArrives7:12pm, AustinSeat14C, aisleConfirm with Face ID
Studio shows every agent visit and what it earned you.
Studio reports what the agent channel adds: visits completed, members recognized, customers coming back. Ambipath proposes rule changes from what it sees, and you approve each one.
Proposed by AmbipathLet agents add breakfast for Gold members without asking. 412 of 430 Gold members said yes when asked.
ReviewYou choose what agents may see, field by field.
Set each field to share, summary or never. A summary answers the agent without the record, such as “books this hotel most months.” Agents get answers for one customer and one task, and payment details never leave your systems.
You can delete any customer’s data from Ambipath at any time. SOC 2 Type II audit targeted for early 2027.
Ambipath works with the personal agents your customers use.
And any agent that visits your site for your customer.
What brands ask first
How do you tell an agent from a person?
Agents that support the newer agent standards identify themselves and the customer who sent them. Any other agent is asked to say whom it acts for, and the customer approves it on your own page before it gets member answers. An agent that cannot say whom it acts for gets guest answers.
What happens when an agent gets an order wrong?
Your rules decide what an agent may do alone, so a fee, a large order or a new card waits for the customer. Studio records each agent action with the rule that allowed it, which gives your support team the record for any dispute.
Will this block agents and cost us orders?
Many brands already turn away agents that say what they are, while agents that hide it get through. Ambipath lets in the agents that identify themselves, holds them to your rules, and stops only the actions your rules forbid, such as saving a new card. Every other order goes through, and Studio lists each stop with its rule so you can change it.
Why would an agent pass on our offers and personality?
An agent works to get its customer the best result, and an exclusive price or points balance changes that result. Ambipath sends facts and real offers with no sales copy. Your personality reaches the customer through your card inside the agent and through your own app.
What does a pilot take?
Pilots are free for a limited time while we work with our first brands. You add a script tag to your website and connect your ordering or booking platform and your loyalty system. We agree on one result to measure and report it at the end of the pilot.
Start with the task your customers send personal agents to do most.
The founders have spent more than 25 years building products that use AI and advanced machine learning to personalize engagement for hundreds of millions of customers worldwide.