AI Agents
Systems that complete work, not just answer questions.
AI & Automation
A chatbot people don't try to escape
Everyone has met the bot that loops through menus until you type 'agent'. We build the other kind: grounded in your real content, connected to your real systems, and honest when it cannot help.
- Engagement
- Fixed-scope build plus optimization retainer
- Typical timeline
- 4–8 weeks
- Delivered across
- All 50 US states
Overview
Older chatbots failed because they matched keywords against a decision tree. Anything unanticipated produced a dead end, which taught customers to bypass the bot entirely. Language models removed that limitation — but only if the bot is grounded in accurate source material and given access to the systems that hold the answer.
We build retrieval-grounded assistants: every answer traced to your documentation, policies, product data or account records, with citations the customer can check. Where the question needs live data — order status, appointment availability, account balance — the bot queries the system rather than guessing. When it genuinely cannot help, it hands off fast, with the full conversation attached so the customer never repeats themselves.
We instrument containment rate, resolution rate and satisfaction from day one, and we tune against real transcripts weekly for the first month. A chatbot that is not measured drifts into being a nuisance.
- Typical containment on repeatable inquiries
- 50–70%Typical containment on repeatable inquiries
- Median first-response time
- <3sMedian first-response time
- Answers without a grounded source
- 0Answers without a grounded source
Business benefits
What chatbot development changes for you
The reasons this work earns its budget, stated as outcomes rather than features.
Grounded in your content
Answers retrieved from your documentation, policies and product data, with citations — not improvised from model training data.
Connected to live systems
Order lookup, appointment booking, account status and ticket creation through authenticated integrations with your platforms.
Handoff that respects the customer
Fast escalation to a human with the full transcript, detected intent and account context already attached.
On brand and in voice
Tone, terminology and escalation policy configured to match how your team actually speaks to customers.
Multilingual for US markets
Native Spanish support alongside English, which materially widens coverage for consumer and service businesses nationwide.
Measured continuously
Containment, resolution, satisfaction and unanswered-question reporting, with weekly tuning against real conversations.
Problems solved
If any of this sounds familiar
These are the situations clients describe in the first conversation, and what we do about each.
“Our current bot frustrates customers more than it helps.”
Replace decision trees with grounded retrieval, add real system access, and make escalation immediate rather than a hidden last resort.
“Support volume spikes overnight and on weekends.”
Round-the-clock coverage for repeatable questions means the queue your team sees on Monday is a fraction of the volume that arrived.
“The bot gives confidently wrong answers.”
Strict grounding, citation requirements and refusal behavior when the corpus lacks an answer. Not knowing is an acceptable output; inventing is not.
“Sales leads arrive at 11pm and go cold by morning.”
A qualifying assistant that answers questions, captures requirements, books meetings against live calendars and routes to the right rep.
Our process
How we deliver it
Each stage has a defined output, so you always know what you are getting and when.
- 01
Conversation audit
Analyze existing tickets and chats to identify the highest-volume intents and what a genuinely good answer looks like for each.
- 02
Knowledge preparation
Assemble, clean and structure the source content, filling documentation gaps the audit exposes.
- 03
Build and integrate
Retrieval pipeline, system integrations, escalation rules, brand voice configuration and the web or app interface.
- 04
Supervised launch
Soft launch to a traffic segment with full transcript review and rapid tuning before full exposure.
- 05
Optimize
Monthly review of unanswered questions, containment and satisfaction, feeding both bot tuning and documentation improvements.
Technologies used
The tools behind the work
Chosen for maintainability and hiring depth rather than novelty. We will justify any choice on request, and we avoid technology that makes you dependent on us.
- Claude
- OpenAI
- pgvector
- Pinecone
- LangChain
- TypeScript
- Python
- Twilio
- Zendesk API
- Intercom API
Industries served
Where this work lands most often
Sector context changes what good looks like. These are the industries where we have delivered this service repeatedly.
Why Mova
What working with us on chatbot development is like
The same commitments apply to every engagement, regardless of size or service.
A defined first step
We scope a fixed-price starting point so you can evaluate us on chatbot development before committing to a program.
Senior people, named
The team you meet is the team that delivers. You will know exactly who is accountable.
You own the output
Code, accounts, files and documentation are yours from day one, with no lock-in of any kind.
Measured, then reported
We baseline before starting and report against it honestly — including the months that fall short.
Questions
Chatbot Development: common questions
The questions we are asked most about chatbot development, answered directly.
For questions covered by well-maintained source content, resolution rates of 80–90% on contained conversations are realistic. Accuracy tracks documentation quality more than model choice — a bot cannot answer what nobody wrote down.
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Next step
Ready to talk about chatbot development?
Thirty minutes with someone who has delivered this work. We will tell you what it would take, roughly what it would cost, and whether Mova is the right fit.
No pitch deck. A 30-minute conversation about what you are trying to achieve.