Self-integrating AI agents for sales, support and lead generation
Algomo discovers and connects with the systems already powering your website to answer support questions from live data, sell from real stock and qualify your B2B buyers.
Live in minutes · works on any stack · no credit card required
AI purpose-built for your business's toughest challenges
Algomo for Service
Resolve account, billing and order questions accurately, from the live systems behind your website.
[Algomo for Service](/solutions/ai-agents-for-customer-service)
Algomo for Sales
Qualify prospects, answer product questions, and guide the conversation to a booked meeting.
[Algomo for Sales](/solutions/ai-agents-for-sales-and-lead-generation)
Live in minutes, better every week
01 Build
Point Algomo at your site, see what it connected to, and shape how it answers in plain language.
02 Test
Run it against real questions before your visitors do, and fix what you find in the same conversation.
03 Evaluate
Read the conversations, see what it resolved on its own, and tighten it week by week.
The Algomo difference
Connects itself to your stack
**It finds the endpoints your own pages already call.** Point Algomo at your website and it reads what your pages read: the stock check, the order lookup, the booking search. Then it builds tools to use them and answers from live data.
**No integration project.** One snippet, live in minutes, because the agent does its own integration work. Systems behind a login are connected with us.
**Self-healing.** A watchdog watches every connection. When a redesign breaks an endpoint, it rebuilds the mapping on its own; you find out because it still works.
Run the whole platform by talking to it
**A platform for humans and AI agents equally.** Whatever you can see and change in the dashboard, your AI tools can see and change too, over MCP, the open protocol AI tools use to talk to each other. Describe the change in Claude, ChatGPT or your coding agent and it lands.
**Everything it does can be questioned.** Ask what it changed, what it called and why, and it answers with the specifics. If it needs a tool it does not have, it builds one and shows you.
**It knows your company, once.** What you teach it is shared knowledge: every agent you run, and the AI tools you point at it, all work from the same understanding.
An assistant inside the page
**It works the page with the visitor.** Anything your site can already do is in reach: filter the list, apply the code, add to the basket, hold the booking. When doing is faster than explaining, it does.
**It has followed the journey.** It knows the page the visitor is on and what they have seen and searched this visit. Nobody has to describe or repeat anything.
**The page and the assistant share one session.** What the visitor does, it sees; what it does, they see: their own prices, their region, their basket. Add to the basket by hand and it knows. Ask it to add, and the basket updates. Any website, no platform app.
The hidden cost of AI agents is the humans behind them
**Behind almost every “autonomous” agent is a forward-deployed engineer** doing two jobs: wiring the agent into your systems, and translating what the business wants into what the agent does. Postings for that role grew more than 800% over nine months of 2025, the deployments still take months, and Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027. It is a model only enterprises can afford.
**We built the agent to do both jobs itself.** It discovers your endpoints and builds its own tools: that is self-integration. It turns plain-language requirements into behaviour: that is AI-first. It can, because it runs in your visitor's session, on the interface your site already exposes. That is the whole company.
[Read our thesis](/resources/thesis)
The complete platform for customer agents
Widgets
Answers with the real thing: product cards, baskets and booking panels, not just text.
Agent builder
Describe what you want in plain language and it builds the rules, answers and workflows.
Production platform
Every change is staged in a session. Review the diff, preview it, then ship it.
Multi-agent
One agent can invoke another to finish a task, then carry on with the result.
Tools
Built from the endpoints your own pages already call, plus any you add yourself.
Integrations
Works with the stack behind your site. Systems behind a login are connected with us.
Sell, support and qualify the way your industry does
Retail and ecommerce
Stock, delivery dates and returns are what decide whether a basket gets finished. The agent answers from live store data, then adds the thing to the basket itself.
[Retail and ecommerce](/solutions/retail-ecommerce)
B2B software
Most buyers leave before the form is read. The agent knows the account, qualifies in the conversation, and books the meeting on the right rep's calendar.
[B2B software](/solutions/b2b)
Travel and hospitality
Every travel question is about a specific date, party and room. The agent checks your own booking engine, quotes the rate the page will charge, and holds it.
[Travel and hospitality](/solutions/travel-hospitality)
Financial services
Rates, limits and application status are lookups. Answering them is what stops an application being abandoned, and anything that counts as advice goes to a person.
[Financial services](/solutions/financial-services)
Healthcare
Scheduling, preparation, forms and prescriptions run end to end. A symptom or a dose stops there and goes to a clinician with the whole conversation attached.
[Healthcare](/solutions/healthcare)
Logistics
Where is my load, can I move my slot, what does this lane cost: answered on your tracking page at 23:00 as readily as at 09:00, from the lookup it already uses.
[Logistics](/solutions/logistics)
Field services
The customer asks where the job stands, the engineer asks whether the part is in stock, and the portal answers both from the systems that hold it.
[Field services](/solutions/field-services)
Home services
The window, the address and the engineer's name are confirmed in the chat, and what the contract covers is quoted back in its own words before anyone books.
[Home services](/solutions/home-services)
Questions, answered
How self-integrating agents work, what they are allowed to do, and what they cost.
What does Algomo actually do?
Algomo is an AI agent for your website that connects itself to the systems your site already runs. It answers support questions from live data, checks real stock and adds to the real basket, qualifies B2B leads and books meetings. It acts during the conversation and after it.
What does "self-integrating" mean?
Point it at your website. It finds the endpoints your own pages already call (the stock check, the order lookup, the booking search), builds tools to use them, and starts answering from the same live data your site shows. There is no integration project.
How is Algomo different from Fin, Sierra or Decagon?
Three ways. Algomo integrates itself: it starts from your website and builds its own tools, where others start from connectors, knowledge uploads or a deployment project. It acts on your site natively: it can work the page with the visitor, add to the real basket at the real price, hold the real booking. And you control it in plain language, from Claude or ChatGPT, from the app, or from your own coding agent; you never file a ticket to change your own agent.
What is it allowed to change, and who decides?
Anything you allow, and nothing you do not. You describe the limits the same way you describe everything else, in plain language. If you forbid something, it does not do it, and it says why.
Do I need developers to set it up?
No. Setup is a URL and one snippet, and changes are sentences, said to Claude, to ChatGPT or in the dashboard. Each lands the same way: you preview it on your site, read the diff, then ship it. If you have developers, they can run the whole platform from Claude Code, Codex or Cursor instead, through the same loop.
What happens when my website changes?
It notices, rescans and rebuilds its tools. You find out because it still works.
How do I know it works before my customers see it?
Talk to it yourself, against your live data, before a visitor ever does. Start free puts a working agent on your own site in minutes, so the first conversation you judge it on is one about your own products.
What does it cost?
You pick a rung on the ladder, from free to $4,300 a month, and it buys credits. A conversation that helped someone is five credits, and five more if it runs past ten replies; spam, abuse and gibberish are not charged. Workflows run free, apart from a hundredth of a credit for a step that calls an outside service or reads your knowledge base. The amount you picked is the most any charge can be: no overage, no credit packs. Run out early and you can renew now, or the agent pauses until the month turns. Start free, no card needed.
Take control of your AI customer experiences
Live in minutes · works on any stack · no credit card required
Every page
- [The AI agent that does its own integration work](/product). Algomo maps the APIs your site runs on, connects to them on its own, and takes instructions in plain language. Sierra and Decagon staff engineers on each deployment; Chatbase and Botpress hand you a connector list.
- [Resources](/resources). Articles, comparisons and the thinking behind the product.
- [Flexible plans that grow with you](/pricing). Start free, scale as you grow. No hidden fees. Every plan includes AI agents, workflows and self-integration. No credit card required · free plan · Cancel anytime
Solutions
- [An AI support agent that answers from your live systems](/solutions/ai-agents-for-customer-service). Algomo connects to the systems behind your website and answers the questions that cause tickets: what was charged, where the invoice is, whether this plan covers it, what happened to the open case. Live answers, read from the systems that hold them.
- [An inbound AI SDR that qualifies visitors and books meetings](/solutions/ai-agents-for-sales-and-lead-generation). Algomo works your website the way a good SDR would. It greets the buyers worth greeting, answers before it asks anything, qualifies in the conversation, and books the meeting on the right rep's calendar, at any hour, with the whole exchange handed to the rep.
- [The retail AI agent that turns browsing into revenue](/solutions/retail-ecommerce). Stock, sizes, promo codes, delivery and returns are all lookups against your own store. Algomo reads them from the same data connections your product pages already use, and puts the item in the shopper's own basket at the price their checkout will charge.
- [The AI agent that travels with your guests](/solutions/travel-hospitality). From the first search to the trip after this one, Algomo answers from your own booking system and acts inside the guest's own browser tab, signed in as them. Fewer calls for your team, more guests finishing the booking.
- [The agent that qualifies the buyer and hands your rep a briefed meeting](/solutions/b2b). Most of the people evaluating you never fill in the form. Algomo meets them on the page while they are still reading, qualifies them by talking, answers pricing and security from your live product, and books the right rep with the whole thread attached.
- [The financial services AI agent built for trust](/solutions/financial-services). Balances, limits, fees and application status are all lookups. Algomo reads them from the systems your own pages call, and routes anything that counts as advice to a person with the whole thread attached.
- [The healthcare AI agent that never practises medicine](/solutions/healthcare). Booking, preparation, coverage, forms, directions and prescription logistics are lookups and bookings, and Algomo does them from the systems your own pages already call. Anything clinical goes to a clinician, with the whole thread attached.
- [The agent that books the job on your site and answers for it until it is done](/solutions/home-services). No heating on a Sunday night, a plan that may or may not cover it, and a contractor who does not work for you. Those are lookups and bookings, and Algomo runs them against the systems your own repair and policy pages already use, in the homeowner's own session while she is on the page. She types, the plan is read, the windows come out of the live diary, and the confirmation, the engineer's name and the time land in the chat and on the booking page the agent opens beside her. When she comes back for the reschedule, the part or the claim, the same thread is waiting.
- [The field service agent that answers the stalled job](/solutions/field-services). A part that never came, a customer who has taken the day off for a four-hour window, an engineer standing in a kitchen who does not know whether the depot has it. Those are lookups against the systems your own booking and stock pages already call, and Algomo runs them in web chat on your website and your customer portal, in the visitor's own signed-in session. A dispatcher answers one person at a time. The agent answers the engineer, the customer and the client at once, and hands your dispatcher whatever needs a person, with the whole thread.
- [The freight agent that answers on your tracking page](/solutions/logistics). Where is my load, can I move my slot, what does this lane cost, what does this accessorial mean: they are lookups against the systems your track-and-trace and quote pages already call, and Algomo answers them there, in the shipper's own portal session, at 23:00 as at 09:00. What needs a person goes to your team with the whole thread.
- [Answer the buyers who will never fill in your form](/solutions/saas). Algomo answers pricing, plan and integration questions from your own pages, qualifies the visitor by talking, and books the demo in the conversation.
- [The agent that answers the fit question, then books the partner who did that work](/solutions/consulting). Every prospect on a consulting site is asking one thing: do you do our kind of work, at our size, in our sector. The answer is scattered across forty case studies, eleven sector pages and a practice description nobody has touched since 2023. Algomo answers it out of the work you have published, opens the nearest engagement beside them on the page, qualifies by asking what a partner would ask, and books the person who actually ran it. Fees, scope, conflicts and the advice itself are partner decisions, so it says so and hands the whole thread across.
- [The property agent that answers at midnight and books the viewing there and then](/solutions/real-estate). Is it still available, what is the service charge, how many years are left on the lease, can I see it on Saturday. Every one of those is a lookup or a booking, and Algomo runs them against the same live listings your own pages render. A branch answers on Monday, by which time the buyer has three viewings booked with somebody else. Valuations, offers and what a place is worth are decisions with money in them, so those go to a named negotiator with the whole thread attached.
Resources
- [The hidden cost of AI agents is the humans behind them](/resources/thesis). Why every agentic AI deployment quietly ships engineers, why the deployments still fail, and why we built an agent that does the engineers' job itself.
- [Lessons from building AI agents that do real work](/resources/research). What we learn along the way, including the dead ends.
- [How we compare](/resources/comparisons). Eighteen vendors, two different jobs, one label. The field compared like for like in four tables, with every price read from the page that publishes it, on 31 August and 3 September 2026, including the seven pages that publish nothing.
- [Why Algomo](/resources/why-algomo). The hard part is connecting an agent to the systems that hold the answers. Most vendors hire engineers to do it per customer; we built the agent to do it itself.
- [Algomo](/resources/about). We build the agent that does its own integration work.
- [Sales ROI calculator](/resources/sales-roi-calculator). Your pipeline today, and your pipeline with an agent answering the buyers nobody gets to. Side by side on your own funnel rates, with no uplift assumed and nothing you type leaving your browser.
- [Support ROI calculator](/resources/support-roi-calculator). What your support costs today, and what it costs with an agent taking the volume you would hand over. Side by side on your own numbers, with the arithmetic printed and nothing you type leaving your browser.
- [Algomo vs Sierra](/resources/vs-sierra). Algomo is an AI agent for your website that integrates itself, works the page alongside your visitor, and is run from your own coding agent, on a free plan with public prices. Sierra needs a sales call and an agent development team, and publishes no pricing.
- [Looking for an Intercom Fin alternative?](/resources/vs-intercom). Algomo is one AI agent on your website. It answers from your live pages, works those pages alongside the visitor, and books the ones worth a meeting. Fin is a support platform that answers on every channel and charges for each conversation it resolves.
- [Algomo vs Decagon](/resources/vs-decagon). Decagon diagnoses the category's disease correctly: complex SDKs, black-box implementations, a vendor ticket for every change. Its cure is its own harness and its own deployment engineers. Ours is neither.
- [Algomo vs Gorgias](/resources/vs-gorgias). Gorgias is the other honest vendor in this category: published prices, self-serve, and the only one that names the lab behind its answers. The real split is an ecommerce helpdesk against an agent for any stack.
- [Algomo vs Chatbase](/resources/vs-chatbase). Chatbase is the closest product to Algomo in shape: a free plan, credits, plain-language instructions, and a frontier lab model answering. The split is where you build it, a dashboard you configure against a coding agent you already run, and what a credit pays for.
- [Algomo vs Zendesk](/resources/vs-zendesk). Zendesk is a helpdesk that added an AI agent; Algomo is an agent that is not a helpdesk. The split is the bill: seats plus a per-resolution fee whose price Zendesk does not print, against one monthly amount you set.
- [Algomo vs Tidio](/resources/vs-tidio). Tidio is live chat for ecommerce with an AI agent, Lyro, bolted on, and it is one of the few vendors that names its model: Claude. The split is a per-conversation AI fee on top of a plan, against one monthly amount, and an MCP client against an MCP server.
- [Algomo vs Botpress](/resources/vs-botpress). Botpress publishes its prices, has a free tier and never charges per seat, which puts it in the honest half of this category. The split is a builder platform with a meter that cannot be switched off, against no builder at all and one monthly amount that stops at zero.
- [Algomo vs Ada](/resources/vs-ada). Ada is an enterprise product sold through a sales call, with voice, messaging and email as separate products and the contact-centre stack wired in. The split is a contract you can only estimate from the outside, against a free plan and an amount you set yourself.
- [Algomo vs Freshchat](/resources/vs-freshchat). Freshchat is Freshworks' messaging product: a real omnichannel inbox sold per agent, with the Freddy AI Agent metered on top. The split is three meters, seats, sessions and Copilot, against one monthly amount you set.
- [Algomo vs Delight](/resources/vs-delight). Delight is Sendbird's AI agent for support and sales, built for contact centres and sold through a demo. The split is the door in: Delight publishes no price and offers no trial; Algomo has a free plan and a price you can read.
- [Algomo vs tawk.to](/resources/vs-tawk). tawk.to is the free live chat: unlimited seats, seven channels, no card, and the AI is a $29 add-on. The split is who does the talking: tawk.to gives your people a free inbox to answer from; Algomo answers for you and acts in the visitor's session.
- [Algomo vs Qualified](/resources/vs-qualified). Qualified's Piper is the Salesforce-native AI SDR, and since 1 April 2026 it is a Salesforce product. The split is the door in and the data underneath: Piper prices behind a demo and identifies visitors from Salesforce; Algomo prices on a public page and identifies visitors from the email it asks for.
- [Algomo vs Docket](/resources/vs-docket). Docket is the strongest independent AI SDR left, and it publishes its prices: from $3,000 a month, billed annually, no trial. The split is the floor: Docket starts at $36,000 a year for unlimited conversations; Algomo starts free, and you set the monthly amount.
- [9 Drift alternatives for 2026, priced, after the sunset](/resources/drift-alternatives). Salesloft named 1mind the successor to Drift, and 1mind's average contract is six figures. Here are nine Drift alternatives that remain, every price read from the vendor's own page.
- [7 Warmly alternatives for 2026, after the HubSpot acquisition](/resources/warmly-alternatives). Warmly agreed on 30 June 2026 to be acquired by HubSpot. Seven Warmly alternatives for the smaller companies it courted, every price read from the page that publishes it.
- [7 Qualified alternatives for 2026, after the Salesforce deal](/resources/qualified-alternatives). Seven Qualified alternatives if you are not on Salesforce, every price sourced, now that the acquisition closed on 1 April 2026 and Piper is becoming part of Agentforce.
- [10 Intercom alternatives for 2026, priced, after the Salesforce deal](/resources/intercom-alternatives). Ten Intercom alternatives with every price read from the vendor's own page, now that Intercom has renamed itself Fin and agreed to sell to Salesforce for about $3.6 billion.
- [1mind publishes no prices. Here is what it costs anyway.](/resources/1mind-pricing). 1mind is the exclusive AI successor to Drift, and its site has no pricing page. Here is 1mind pricing from the public record: the founder's six-figure average, and the estimates labelled as such.
- [Zendesk pricing: the seats are published, the number that decides your bill is not](/resources/zendesk-pricing). Zendesk prints four seat prices on its pricing page. It does not print the price of an automated resolution, which is the unit it bills AI agent work in. Here is what is published, what is missing, and how to budget around the gap.
- [11 Zendesk alternatives for 2026, priced, including the AI line](/resources/zendesk-alternatives). Eleven Zendesk alternatives with every price read from the vendor's own page, including the number Zendesk leaves off its: what one automated resolution costs.
- [What is an AI SDR? How they work, what they cost, and the two kinds](/resources/what-is-an-ai-sdr). An AI SDR is software doing a sales development rep's job. The term covers two products that share a title and little else: one sends cold email at scale, the other answers the buyer who came to you.
- [Customer service automation: what not to automate, and why](/resources/what-not-to-automate). Every customer service automation vendor publishes the share of conversations its agent resolves. Nobody publishes the list it is told to leave alone. Ours is the more useful document.
- [AI customer support for travel agencies and tour operators](/resources/ai-support-for-travel). The vendors write about IndiGo and Cebu Pacific. AI customer support for a travel agency with nine people and guests writing in several languages is a different job, and nobody writes for it.
- [Inbound lead qualification on your website, without a form](/resources/lead-qualification). Lead qualification happens in the conversation a buyer is already having on your site, often at eleven at night. A form can only interrupt it; an agent can finish it.
- [How much does an AI chatbot cost in 2026? The four pricing models](/resources/ai-agent-pricing-models). AI chatbot pricing bills you for one of four things: an outcome, a conversation, a person on your team, or a period of time. The unit decides what a bad month costs.
- [MCP for customer support: what changes for the agent on your website](/resources/mcp-customer-support). Half the vendors now say MCP somewhere on their site, and most mean the same small thing. Here is what MCP for customer support actually is, who has it, and which way each one points.
For agents
- [Set Algomo up over MCP](/agents.md), install instructions for a coding agent.
- Every page here answers in markdown: add `.md` to any URL, or send `Accept: text/markdown`.
Served to agents at /index.md, or at this URL with an Accept: text/markdown header.