Since 2010
Building Software
Answers With Evidence. Handoffs Without Friction.
Chatbot Development Services
We build chatbots that answer from your own knowledge with citations, escalate to humans gracefully, and report what users actually ask. Web, in-app, or messaging channels, delivered with fixed pricing.
- 15+
- Years Building Software
- 9,000+
- Projects Delivered
- 120+
- AI Engineers
- 25+
- Countries Served
Trusted by the brands we build for
9,000+
Projects Delivered
3,900+
Apps Published
500+
Engineers
insight
What makes a chatbot worth building
Most chatbots fail for one reason: they guess. A useful chatbot is grounded in your real content, cites its sources, and hands off to a human the moment confidence drops or the user asks for one. We build for that standard, whether the channel is your website, your product, or WhatsApp and other messaging apps.
The work is mostly plumbing done properly: ingestion pipelines that keep answers current, retrieval that finds the right passage, and analytics that show unresolved questions so your content improves. When conversations should take actions rather than give answers, our AI agent development team extends the same stack.
What our chatbot development services cover
The full lifecycle: from content ingestion to post-launch tuning.
Support and FAQ chatbots
Grounded answer engines over your help centre, policies, and product docs, with citations and human escalation built in.
- ✓Help centre ingestion
- ✓Cited answers
- ✓Confidence-based escalation
- ✓Unanswered-question reports
Lead qualification chatbots
Website and campaign bots that qualify visitors, book meetings, and push structured records into your CRM.
- ✓Qualification flows
- ✓Calendar booking
- ✓CRM record creation
- ✓A/B tested greeting flows
In-app assistant chatbots
Product-embedded assistants that answer how-to questions using your documentation and user context.
- ✓SDK and widget embeds
- ✓User-context awareness
- ✓Feature-guidance flows
- ✓Satisfaction capture
Messaging-channel bots
Chatbots on WhatsApp, Messenger, and other channels where your customers already are, with session continuity.
- ✓WhatsApp Business API
- ✓Channel-agnostic backend
- ✓Session handover
- ✓Rich media replies
Internal knowledge bots
Employee-facing bots over policies, runbooks, and internal wikis, with access control respected per question.
- ✓Access-aware retrieval
- ✓SSO integration
- ✓Source citations
- ✓Usage analytics
Migration and rescue
Rule-based chatbots rebuilt on modern retrieval, keeping conversation history and improving containment measurably.
- ✓Intent-to-RAG migration
- ✓Content gap analysis
- ✓Historical transcript reuse
- ✓Containment benchmarking
What every engagement includes
Every chatbot project ships with the following, agreed in writing before the first sprint begins.
Discovery workshop
A structured workshop maps your goals, users, and constraints into a scoped chatbot roadmap with a fixed written quote before any sprint starts.
Named senior team
You get named, senior engineers with CVs you can review, not a rotating bench. The people in the kickoff are the people who ship.
Sprint demos every two weeks
Working builds are demoed live each cycle with CI running on every merge, so progress is visible in software, not slideware.
100% source-code ownership
All chatbot source, configurations, designs, and documentation transfer to you on delivery with no licensing strings or vendor lock-in.
60 days of post-launch support
Engineering time is on standby for two months after go-live to triage defects, tune performance, and stabilise the release at no extra cost.
12 months of free updates
Compatibility updates, security patches, and platform upgrades ship free for a full year after handover.
What you can build with a custom chatbot
Deployments we deliver most often, each measured on containment and satisfaction.
Website support bot
A public-facing assistant that deflects ticket volume by answering from your documentation with links to sources.
Order and account bot
A bot connected to your order system that handles status, returns, and basic account changes with authentication.
Onboarding assistant
An in-product guide that walks new users through setup, answering questions from docs as they go.
HR and IT help bot
An internal bot for leave policies, hardware requests, and password resets, wired to your ticketing system.
Multilingual support bot
One knowledge base, many languages, with quality checks per language rather than machine-translated guesswork.
How a chatbot Project Runs
Six stages, each with a sign-off gate before the next begins.
- 01
Discovery
We map your chatbot goals, users, and constraints in a structured workshop, ending in a fixed written quote and an architecture risk list.
✓ step 01 complete - 02
Solution design
The chatbot architecture, integrations, and delivery plan are designed and reviewed before build work starts, so scaling later is not a rewrite.
✓ step 02 complete - 03
Foundation sprint
Repositories, CI, environments, and a walking skeleton are set up first. Something real runs on a staging URL before feature sprints begin.
✓ step 03 complete - 04
Sprint delivery
Two-week sprints with live demos every cycle. chatbot work is reviewed, tested, and merged continuously, so scope surprises surface early.
✓ step 04 complete - 05
Hardening and launch
Performance, security, and accessibility checks run against agreed budgets, followed by a staged chatbot launch with monitoring from hour one.
✓ step 05 complete - 06
Support and handover
60 days of included support, 12 months of free updates, and documentation that lets your internal team own the system with confidence.
✓ step 06 complete
The stack behind our chatbot builds
Default choices, and the reasoning.
Language and retrieval
Frontier LLMs for response generation with hybrid semantic and keyword retrieval, chunking tuned per corpus rather than defaulted.
Content pipeline
Scheduled ingestion from help centres, PDFs, and wikis with change detection, so answers stay current without manual re-uploads.
Channels
A channel-agnostic backend serving web widget, in-app SDK, and messaging platforms from one knowledge base and one analytics stream.
Measurement
Containment rate, escalation reasons, and satisfaction captured per conversation, with dashboards your support lead can actually read.
How intelligence flows through the bot
What the model reads, and what it is allowed to change.
Retrieval layer
Finds the most relevant passages for each question.
Reads
Help centre, docs, policies, past tickets
Changes
Nothing; retrieval is read-only
Response composer
Writes grounded answers with citations, or declines when evidence is thin.
Reads
Retrieved passages and conversation state
Changes
Conversation history and draft replies
Handoff router
Escalates to humans with full transcript and context attached.
Reads
Confidence scores, user requests, topic rules
Changes
Ticket queue and agent assignments
What's included, standard
The baseline on every chatbot engagement. Not an upsell tier, just the floor.
Fixed written quote
The price agreed at discovery is the price you pay, with change handled through explicit scope changes rather than silent drift.
Solution architecture document
System design, data flows, and technology decisions written down so your team can audit and own the result.
Dedicated project manager
One accountable point of contact with real authority over the delivery, not a message relay between time zones.
QA on every build
Automated and manual testing on each chatbot release candidate, with defects triaged before anything reaches production.
Security review
A checklist-based security pass covering authentication, data handling, and dependency vulnerabilities before launch.
CI/CD and environments
Pipelines, staging, and preview environments configured from week one, so releases are routine rather than dramatic.
Analytics and monitoring
Instrumentation wired before launch so you can see real user behaviour and system health from day one.
Documentation and handover
Code comments, runbooks, and architecture notes written for your next developer rather than for our convenience.
Knowledge audit
A review of your existing content with a gap list and ingestion plan before build starts.
Custom chatbot vs Off-the-shelf widget
Where the build decision actually pays, answered plainly.
| Criteria | Consideration | Custom Moxace Build | Off-the-Shelf Widget |
|---|---|---|---|
| Grounding and citations | Answers cite your sources | Generic answers, vague sourcing | |
| Knowledge control | Your pipeline, freshness automated | Vendor-managed re-indexing | |
| Data residency | Runs where you choose | Vendor's cloud, their terms | |
| Channel coverage | Web, app, and messaging from one base | Usually web widget only | |
| Source ownership | 100% yours on delivery | Subscription, locked in |
/11
Why teams pick us for chatbot work
The differences live in engineering habits, not pitch decks.
Grounded or nothing
We do not ship bots that improvise. Answers come from your content with citations, or the bot escalates, and we measure containment honestly.
Escalation as a feature
Handoff to humans is designed with the same care as the answering, with transcripts, context, and routing your support team will actually use.
120+ AI engineers
A dedicated AI bench means retrieval tuning and evaluation are senior work, not a side task for a generalist.
Measurement built in
Containment, satisfaction, and unanswered questions are instrumented from launch, so improvement is a numbers game, not a feeling.
Track record since 2010
9,000+ projects and 3,900+ apps published across 25+ countries, with support automation among our most requested builds.
Chatbot development FAQs
$ moxace launch --nowReady to Deflect Real Ticket Volume?
Talk to our chatbot team about a grounded, citation-backed assistant with fixed pricing and full source-code ownership.
- 01
Share your idea
a quick call, no deck required
- 02
See the live demo
every screen, admin to user
- 03
Launch with source
full code, your brand, your servers
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