Conversational AI.
Build a chatbot only when it earns its keep. Most don't.
Most chatbots are an expensive way to annoy your customers. A few actually book calls, answer the top questions, or handle support overnight. We tell you which one you need, build only the ones that pay back, and measure whether they actually help.
The work starts with a question most agencies skip: does a chatbot help your customer or annoy them? For a plumber, the customer wants a phone number, not a chat widget. For a SaaS product with 200 support tickets a week and an existing knowledge base, a chatbot can deflect 40 to 60 percent of them and pay for itself in a month. For an e-commerce store, a chatbot that recommends products can earn its keep. For a 5-page service site, it is overhead. We will tell you honestly which one you are.
The lie everyone is selling is 'AI agents will handle your customer service'. They will not, not yet, not for anything that matters. What they will do, and do well, is answer the top 10 questions you get every day, route the harder ones to a human, and capture the lead before the visitor leaves the page. The chatbot is a triage layer. It is not a replacement for the team. Built that way, it works. Built as a replacement, it fails and you find out from angry reviews.
We build on whichever stack matches the use case. Pure OpenAI API or Claude with a custom prompt and a retrieval layer over your docs for support deflection. Voiceflow or Botpress when you need a designer-friendly tool the team can edit. Intercom Fin or Zendesk's AI when you are already living in their ecosystem. Custom builds when none of the above fit. In every case, we measure deflection rate, handoff rate, and customer satisfaction, and we turn the bot off if the numbers do not justify it.
This is for you if
- You want a chatbot and do not know if it will help or annoy customers
- You have been pitched on enterprise voice AI and want a reality check
- Your support team is drowning and you suspect 60 percent of tickets are four questions
- You want a working bot in two weeks, not a six-month 'discovery phase'
Want a number on it?
Every engagement is scoped to what you actually need. Tell us where you are, what you're trying to fix, and we'll come back with a straight price and a timeline. No retainers, no "discovery phases", no surprises.
What this looks like when it works
- If a chatbot is wrong for you, you find out in week one and save the build cost
- If it is right, support deflection lands at 30 to 60 percent within 60 days, and the team time saved is measurable
- Lead qualification bots filter out the bad-fit traffic before your sales rep has to take the call
- Customer satisfaction goes up, not down, because the bot answers fast and hands off cleanly to a human when it cannot
- Internal bots cut onboarding time for new hires by 30 to 50 percent because the docs are finally answerable in plain English
How we approach conversational ai
The handful of principles that decide what we do and what we skip.
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Should you have one at all
Most businesses we audit do not need a chatbot. We will say so. We would rather lose the project than ship a bot that annoys your customers.
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Triage, not replace
The bot handles the easy 60 percent and hands off the rest. We do not let it pretend to be human, and we do not let it block real questions.
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Measure deflection, not volume
A bot that answers 10,000 messages and deflects 5 percent is failing. A bot that answers 1000 and deflects 60 percent is working.
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Off switch by default
Every bot we ship has a clear path to a human, and a kill switch the team can flip in 30 seconds if it starts misbehaving.
How we compare to the alternatives
The honest sales argument. We will not pretend the other options do not exist.
Doing it yourself
- You and your team learning every platform from scratch
- The work eats nights and weekends
- Hard to tell what is actually working until you have burned the budget
- One channel at a time because you cannot run them all yourself
- Pricey mistakes you eat alone
With Mujgos
- An operator who has actually shipped this work for paying clients
- Plain-English plan, plain-English reporting, no PDFs to interpret
- Fixed scope, real deadline. No 12-month contracts
- Decisions in 48 hours, not 4 weeks
- You keep the keys to every account, tool, and asset
Typical agency
- Junior staff in a process they cannot change
- Dashboards that confuse instead of clarify
- 12-month contracts and cancellation clauses
- Cookie-cutter playbooks they run on every client
- Padded retainers that grow quietly over time
How working with us actually goes
No retainers you can't escape, no jargon, no 12-month contracts. You pick what you need, we do the work, and you keep the keys.
- 01
Diagnose
A free 30-minute call. We figure out where you really are and what the next dollar of effort should go to.
- 02
Plan
We write the next 90 days with you. What to do first, what to skip, what to spend. So you stop guessing on Monday.
- 03
Build
We do the work. Fast and on a fixed price, not on hours billed.
- 04
Grow
Ongoing playbooks and a Slack thread or call when you're stuck. You run the business. We're the brain you call when something is off.
More inside AI & Data
- AI for Marketing Use AI for the marketing work that repeats. Skip the rest.
- AI Automation Automate the work that repeats. Keep the humans on the work that doesn't.
- Data & Analytics Five numbers in your inbox on Monday morning. Not a 12-tab dashboard nobody opens.
- Machine Learning Consulting Find out if you actually need ML before you spend a fortune building it.
Ready when you are.
Pick the offer that fits. We'll meet you there.