Give them an AI agent to lighten the daily load. BonEcho builds AI agents inside the software you already run, for whatever work your team repeats every day. Nothing gets replaced, and your people stay in charge.
You talk with a founder. No slides, no obligation.
“They are five steps away from this thing that they really, really like. They just cannot grab it for themselves.”Labeeb Khan, CTO
Confirmations, follow-ups and re-keying happen in the gaps between the work your people were hired for.
A chatbot can draft one email. Hooking it to your schedule, your CRM and your rules is where projects stall.
In a clinic or a law firm, a wrong answer is not a glitch. It is a liability with your signature on it.
BonEcho finishes the last stretch. We build the agent into the systems you already run, with the rules you already follow, and we stay accountable for it running.
Each began with one team and one time-consuming process. Each is in daily use today, shaped by the people who rely on it.
Reaches each patient by text, email and phone, records the answer on your schedule, and tells the front desk when someone needs a person.
Picks up every new lead in seconds, follows up by text, phone and email for as long as it takes, and brings in a licensed agent only for the quote and the close.
Prepares first drafts and redlines from your firm’s own precedents, has them independently reviewed, and returns them to the attorney with a full history.
Customers book by text or email in their own words. Proctor records the job in your system and keeps each driver’s route up to date.
A project manager that keeps engagements organised, and an epidemiologist that drafts and reviews study methods.
Brings sales requests, the weekly plan and the floor into one place, checks every order against machine capacity, and keeps the ERP in step.
Finds the right people, learns about each one, prepares sequences for your team to approve, and sorts the replies.
Most of what we build starts as one team’s one repetitive job. If yours runs every day and lives in a system you own, it is a candidate.
Every agent works the same way: it does the routine, records what happened, and hands a person the moment that needs one. The handover is marked in each day below.
Sends Thursday’s patients a confirmation text and email.
A patient replies “Yes, see you Thursday.” The visit is marked confirmed.
Another patient can’t make it. The front desk is told while the slot can still be filled.
Offers the opening to a patient on the waiting list.
A new auto lead arrives. The first text goes out within the minute, from the agent’s office.
After three texts and two calls, she replies. Maverick phones her, hears about her day, and books a text instead.
Everything a quote needs is on the agent’s Workflow: vehicles, drivers, what she pays today.
Posts the number. Maverick delivers it, she says yes, and the agent binds the policy.
Asks Blue for a first draft of a services agreement.
Confirms the scope and shares a short plan for approval.
The draft is prepared from the firm’s own forms, then reviewed independently.
Receives the document with tracked changes and review notes.
Texts “crush the bins friday.”
Recognises the customer and the site, and books the visit.
Re-plans Friday’s route around the new stop.
Reviews the updated route and approves it.
Sets up the project board and timeline for a new engagement.
Drafts a study specification and marks the parts that are still open.
A second review checks the draft for common sources of bias.
Receives the draft and review notes, ready to take forward.
Raises a production request for a customer order.
Checks the request against machine capacity and shows where it fits in the week.
Approves the request, and it joins the weekly plan.
The floor records its output, and stock and work orders update in the ERP.
Finds new organisations that match the brief and learns about each one.
Reads sample emails written for real prospects and approves the sequence.
Sends the first emails, within the limits the team has set.
A reply arrives. A suggested response waits for a person to review.
There is no new platform for your team to learn. The agent works from your records and follows the steps, wording and approvals you already use.
They reach you the way they always have.
Understands the request, does the work, records the outcome.
Your records stay where they are, and stay current.
They see everything that happened, approve what needs approval, and take the conversations that call for a person.
No. The agent reads from and writes to the software you already run, so your records stay the single source of truth.
You choose what it may do by itself and what it prepares for approval, channel by channel. That line can move as your confidence grows.
The agent stops, hands the conversation to a named person on your team, and shows them the full history.
We learn how your operation really runs, then build around it. Your team approves drafts first and hands over more as trust grows. Most agents go live two to three weeks after the first conversation.
A conversation, then time with the people who do the work, so we see the process as it really runs.
We map what the agent takes on, what stays with your team, and how work passes between them.
We build inside your systems and around your scripts, starting with drafts your team approves.
We stay on after launch, watching how it performs and refining it with you.
Our backgrounds are in operations and machine learning. We have run large operations ourselves, and we build with that in mind.
Ran operations at Uber and Uber Eats, then built and scaled marketplace businesses at Dolly and Pathao. Deep leads every first conversation.
LinkedIn profile
Twelve years building machine learning systems that power tens of millions of daily interactions, at Deloitte, Aviva, Intact and TransUnion.
LinkedIn profileIf yours is not here, bring it to the conversation.
You can get a working demo that way, and many of our clients did. The hard part is everything around the demo: connecting to your schedule or CRM, following your rules on every message, handing off to a person at the right moment, and keeping it running next month. That is the work we have already done for seven businesses, and we reuse those tested parts in yours, which is why most agents go live two to three weeks after the first conversation.
It keeps running, and we keep running it. BonEcho provides full maintenance and support for as long as you use the agent: fixes, monitoring and new features as your needs change. BonEcho owns the software; your records stay in your own systems.
On your own systems, or on infrastructure BonEcho runs for you, depending on the scope of the engagement. Which one is settled before anything is built.
Most agents go live two to three weeks after the first conversation. The agent starts on drafts your team approves and takes on more as each channel earns it.
Every build is scoped after the first conversation, because the price depends on the process, the systems it touches and how much of the work the agent takes on.
Notes from real deployments, written by the people who built them.
Eight design rules from seven AI agents in daily use at clinics, insurance agencies, law firms, a waste-services company, a research consultancy, a manufacturer and a sales team, each shown in the agent it came from.
By Labeeb Khan ·We read 1,283 sold auto-insurance leads end to end and set them against 1,471 lost ones. Speed to lead barely moved the outcome. The sixth dial, the 5pm call and the third week did.
By Deep Grewal ·Inside Remi, the agent that confirmed 92% of an Ontario ENT clinic’s appointments in 30 days: the outreach sequence, how it reads a reply, and the four cases it hands to the front desk.
By Labeeb Khan ·Thirty minutes with a founder. Bring the process, the system it lives in, and what it costs you today. You leave knowing whether an agent fits, even if you never work with us.