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Your client needs a bot that actually works. We build it.

CUSTOM CHATBOT INTEGRATION

We configure, train, and launch chatbots on proven platforms. Knowledge base bots that answer real questions.

Lead qualification bots that filter before sales sees it. Support triage bots that cut ticket volume. 2–3 weeks from contract to live.

Your brand. Your client. We deliver.

What Custom

Chatbot Integration Actually Means

Custom chatbot integration is the process of building, training, and deploying a purpose-built conversational AI on a client’s website or application. Unlike off-the-shelf chat widgets, a custom chatbot is trained on the client’s actual content — help docs, FAQs, product pages — and answers questions using real information instead of scripted responses.

The difference between a chat widget and a custom chatbot comes down to what happens when a customer asks something unexpected.

Rule-Based Chat Widget

  • Scripted decision trees
  • Requires manual updates
  • Dead ends when script runs out
  • Same answers for everyone
  • $0–50/month, minimal value

Custom AI Chatbot

  • Trained on actual business content
  • Learns from knowledge base updates
  • Escalates gracefully to humans
  • Context-aware responses
  • $5K–12K setup, measurable ROI

Why Most

Chatbot Projects Fail

1

They Train on Nothing

Bot gets installed, nobody feeds it content. It answers generically or makes things up. Customers abandon it within 48 hours. The implementation cost was $5K. The ROI was zero.
2

They Never Escalate

When the bot hits a wall, there is no handoff. Customer loops through the same three suggestions. Frustration builds. They email support anyway — now angrier than before.
3

They Look Bolted On

Generic chat bubble, off-brand colors, robotic tone. Customers can tell it is not part of the site. Trust drops. They close the widget and never come back to it.
4

Nobody Measures Anything

No conversation logging. No analytics. Nobody knows if the bot is helping or just annoying people. It runs silently until someone cancels the subscription six months later.

Five Chatbot Types

We Build

DocsBot (GPT-4 with knowledge grounding)

Knowledge Base Bot

Client has 50+ support articles nobody reads. Bot searches them all in real time and answers from actual content instead of guessing.

Real example: Accounting firm with a 200-page help center. Bot trained on all content. Support emails dropped 40% in 60 days. Senior staff reclaimed 5+ hours per week.

Setup: $5K–8K | Recurring: $100–150/month

Botpress (multi-step conversation flows)

Lead Qualification Bot

Website gets traffic but the contact form converts at 2%. Bot asks qualifying questions in real time, routes hot leads to sales, sends resources to everyone else.

Real example: B2B SaaS marketing site. Bot replaced static form. Qualified leads increased 35%. Sales team stopped wasting time on unqualified inquiries.

Setup: $8K–12K | Recurring: $150–200/month

Platform depends on volume and integration needs

Customer Support Triage

Support team answers the same 10 questions daily. Bot handles the repetitive ones. Complex issues escalate to humans with full conversation context attached.

Real example: E-commerce brand with 200+ daily support tickets. Bot resolved 45% without human intervention. Average response time dropped from 4 hours to 12 seconds.

Setup: $6K–10K | Recurring: $120–200/month

Botpress (catalog integration + conversation flows)

E-commerce Product Assistant

Customer asks “do you have this in red?” or “what pairs well with this?” Bot searches the catalog, suggests alternatives, and guides toward checkout.

Real example: Online retailer with 3,000+ SKUs. Bot handles product questions, suggests alternatives when items are out of stock. Add-to-cart rate increased 15%. Average order value up 12%.

Setup: $7K–11K | Recurring: $150–250/month

Botpress (step-by-step flows with conditional logic)

Onboarding Bot

New customers sign up and immediately feel lost. Bot provides guided setup, answers “how do I…” questions, and reduces time-to-first-value by 30–40%.

Real example: SaaS platform with a 30-day free trial. New users reached first value 40% faster. Trial-to-paid conversion improved from 22% to 26%. Demo call volume decreased 35%.

Setup: $6K–9K | Recurring: $100–150/month

The Technology

Behind It

We build on two platforms depending on what the client needs. One excels at knowledge retrieval. The other excels at conversation design. Choosing wrong means rebuilding later.

DocsBot AI

Core method: RAG (Retrieval-Augmented Generation)

Ingests documents, help articles, and website pages. Answers questions by retrieving relevant content and generating responses grounded in real data.

Best for: Knowledge base bots, FAQ automation, internal documentation search

Botpress

Core method: Visual conversation builder + AI nodes

Drag-and-drop flow editor with conditional logic, API integrations, and AI-powered decision nodes. Handles multi-step conversations with branching paths.

Best for: Lead qualification, onboarding flows, e-commerce assistants, support triage

Quick Comparison

DocsBot AI Botpress
Setup time 1–2 weeks 2–4 weeks
Conversation depth Single-turn Q&A Multi-step flows
Hallucination risk Low (grounded in docs) Very low (scripted paths)
CRM integration Limited Native (HubSpot, Salesforce)
Monthly cost $50–150 $100–250

Chatbot vs Live Chat vs AI Agent

What Your Clients Actually Need

Clients often confuse these three. Each solves a different problem at a different price point. Selling the wrong one creates churn. Here is how they differ.

Live Chat Widget

Human-powered, real-time

  • Requires staff availability
  • Hours limited to business hours
  • High cost per conversation
  • Best for high-value sales conversations
  • Tools: Intercom, Drift, LiveChat

Cost to client:

$200–500/month + staff time

Custom AI Chatbot

AI-powered, 24/7 availability

  • Runs without staff involvement
  • Available 24/7/365
  • Low cost per conversation
  • Best for support, FAQs, lead qualification
  • Tools: DocsBot, Botpress

Cost to client:

$5K–12K setup + $100–250/month

Custom AI Agent

AI-powered, takes actions autonomously

  • Connects to APIs and databases
  • Executes multi-step workflows
  • Makes decisions based on context
  • Best for process automation, complex ops
  • Tools: Custom (Python, LangChain, n8n)

Cost to client:

$15K–40K setup + $300–800/month
Week 1

Discovery and Scope

  • Identify top 20 user questions
  • Audit existing content sources
  • Choose platform (DocsBot or Botpress)
  • Define escalation rules
  • Map success metrics
Weeks 2–3

Build and Train

  • Ingest and structure training data
  • Build conversation flows
  • Design the UI to match brand
  • Configure API integrations
  • Set up analytics tracking
Weeks 4–5

Test and Refine

  • Run 100+ test conversations
  • Identify accuracy gaps
  • Add missing content sources
  • QA escalation handoffs
  • Client review and feedback
Weeks 6–8

Launch and Optimize

  • Deploy to production
  • Monitor first 500 conversations
  • Tune responses based on real data
  • Deliver performance report
  • Hand off to maintenance plan

Three Real

Chatbot Deployments

These are composite examples drawn from actual client engagements. The problems are real. The results are representative of what a properly built chatbot delivers within 90 days.

Knowledge Base Bot — DocsBot AI

Regional Healthcare Network

Problem: Patient portal had 300+ FAQ pages. Call center handled 400+ calls per day — 60% were questions already answered on the website.

Solution: Trained bot on the entire FAQ library plus provider directories. Added appointment-related escalation paths to live agents.

Result: Call volume dropped 35% in 8 weeks. Patient satisfaction scores for digital experience increased from 3.2 to 4.1 out of 5. Estimated annual savings: $180K in call center costs.

Lead Qualification Bot — Botpress

B2B Manufacturing Company

Problem: Website generated 200+ form submissions per month. Sales team spent 15 hours per week qualifying leads manually. 70% were unqualified.

Solution: Multi-step qualification bot that asks about company size, budget range, timeline, and use case before routing to sales or sending resources.

Result: Qualified lead volume increased 40%. Sales team reclaimed 12 hours per week. Average deal cycle shortened by 8 days because reps started conversations with context.

Onboarding Bot — Botpress

Online Education Platform

Problem: 45% of new users never completed setup. Onboarding emails had 18% open rate. Support tickets from confused new users consumed 30% of the support team’s time.

Solution: In-app onboarding bot that guides new users through account setup, first-course selection, and initial feature orientation step by step.

Result: Onboarding completion jumped from 55% to 78%. Trial-to-paid conversion improved by 4 percentage points. Support tickets from new users dropped 50%.

What You Can Charge

Your Clients

These are real market rates for custom chatbot projects in 2025. The margins are strong because most agencies are not offering this service yet. Early movers set the price.

FAQ automation, help center search

Knowledge Base Bot

  • Your cost: $5K–8K setup
  • Client price: $10K–18K setup
  • Recurring: $200–400/month to client
50–60% margin
Multi-step flows, CRM integration

Lead Qualification Bot

  • Your cost: $8K–12K setup
  • Client price: $18K–28K setup
  • Recurring: $350–600/month to client
55–65% margin
Multiple bots, analytics, ongoing optimization

Full Chatbot Suite

  • Your cost: $12K–18K setup
  • Client price: $25K–45K setup
  • Recurring: $500–1,200/month to client
50–60% margin

How the White-Label

Model Works

Two paths. Same outcome: your client sees your brand on every deliverable. We never appear in any client-facing communication, documentation, or interface.

Path A: You Sell, We Build

You handle the client relationship and sales process. We handle the entire technical build from discovery to deployment. Your client never knows we exist.

  • You own the client relationship
  • We attend standups as your team (optional)
  • All deliverables branded under your agency
  • We use your project management tools
  • You set the price. We charge wholesale.

Path B: You Sell, We Co-Deliver

Your team handles some components — maybe the design or the content strategy. We handle the technical implementation and platform configuration.

  • Split responsibilities based on your team’s capacity
  • Your team handles design and content
  • We handle platform setup and training
  • Shared Slack channel for real-time collaboration
  • Your team learns the platform over time

Deploying the chatbot is not the finish line. The first 90 days of real conversations are where the bot actually gets good. Here is what we do after go-live.

Conversation Monitoring

We review the first 500 conversations to identify gaps in training data. Every unanswered question becomes a content update. Most bots need 2–3 content refreshes in the first month.

Response Accuracy Tuning

When the bot gives a correct but incomplete answer, we expand the source material. When it hallucinates, we add guardrails. Accuracy targets: 90% by week 4, 95% by week 8.

Escalation Path Optimization

We track which questions escalate to humans and why. If the same question escalates repeatedly, the bot needs more training data — not a human agent.

Monthly Performance Reports

Total conversations, resolution rate, escalation rate, customer satisfaction score, and top unanswered questions. Delivered monthly in a format you can forward to your client.

Quarterly Content Refresh

Business information changes. Products launch. Policies update. We retrain the bot quarterly so it stays current with the client’s actual knowledge base.

Ongoing Maintenance Pricing

Post-launch support runs $100–250/month depending on complexity. Most agencies mark this up to $300–600/month — creating a recurring revenue stream that compounds with every deployment.

Industries Where Chatbots

Deliver the Highest ROI

1

Healthcare and Wellness

Patients check symptoms, find providers, and ask insurance questions at 2 AM. A bot trained on FAQs and provider directories handles 40–60% of these inquiries without a human. HIPAA-compliant deployment required — we configure that from day one.
2

E-commerce and Retail

Product questions, order tracking, return policies — these three categories make up 70% of support tickets for most online retailers. A chatbot handles all three instantly, 24/7. Brands with 1,000+ SKUs see the biggest impact.
3

SaaS and Technology

New users get stuck during onboarding. Existing users forget how features work. A bot trained on help docs and release notes reduces support ticket volume by 30–45% while improving time-to-first-value for new accounts.
4

Professional Services

Law firms, accounting firms, and consultancies field the same intake questions hundreds of times per month. A qualification bot collects case details, screens for fit, and books consultations — replacing a $50K/year intake coordinator.

FAQ

Most custom chatbot projects take 6 to 8 weeks from kickoff to production deployment. Simple knowledge base bots can launch in 3 to 4 weeks. Complex multi-step bots with CRM integrations typically require the full 8 weeks. The timeline includes discovery, build, testing, and a supervised launch period where we monitor the first 500 conversations.

A chatbot answers questions and guides conversations based on trained content. An AI agent takes autonomous actions — connecting to APIs, executing workflows, and making decisions across multiple systems. Chatbots are conversational interfaces. AI agents are operational tools. Most businesses need a chatbot first. Agents come later when the use case requires system integration and autonomous decision-making.

Hallucination risk depends on the platform and training approach. DocsBot uses retrieval-augmented generation (RAG), which grounds every answer in actual source documents — reducing hallucination to near zero. Botpress uses scripted conversation flows where responses follow defined paths. Both approaches are significantly safer than connecting a raw language model to a website. We also configure fallback responses so the bot says “I do not know” instead of guessing.

Setup costs range from $5,000 to $18,000 depending on complexity. A basic knowledge base bot starts around $5,000. A lead qualification bot with CRM integration runs $8,000 to $12,000. A full chatbot suite with multiple bots and analytics starts at $12,000. Monthly maintenance and platform fees run $100 to $250 on our end. Agencies typically mark up the full package by 50 to 65 percent.

Yes. Botpress has native integrations with HubSpot, Salesforce, Zendesk, and Intercom. DocsBot integrates with Slack, Zapier, and custom webhooks. For platforms without native connectors, we build custom API integrations. CRM integration is critical for lead qualification bots so that qualified leads flow directly into the sales pipeline with full conversation context.

The bot needs the same content your client’s customers already look for — FAQ pages, help articles, product documentation, pricing pages, and policy documents. We audit the client’s existing content library during the discovery phase and identify gaps. If content is missing, we flag it before build begins. The quality of the training data directly determines the quality of the bot’s responses.

Completely. Your client never sees our name on any deliverable, interface, or communication. The chatbot UI matches the client’s brand. All documentation carries your agency’s branding. We join standups and Slack channels as your team members when needed. The entire engagement is positioned as your agency’s capability.

Every bot we build includes escalation paths. When it cannot answer confidently, it transfers the conversation to a human agent with the full chat transcript attached. No dead ends. No loops. The customer gets help, and the support agent starts with context instead of asking the customer to repeat everything. We configure escalation triggers during the build phase based on the client’s support workflow.

Yes. Both DocsBot and Botpress support multi-site deployment. A single bot can serve a website, a mobile app, a Slack workspace, and a help center simultaneously. Each deployment point can have its own UI styling while sharing the same knowledge base and conversation logic. Multi-channel deployment is included in the setup — no additional build cost for extra embed points.

We track five core metrics from day one: total conversations, resolution rate (questions answered without human help), escalation rate, customer satisfaction score (collected via post-chat survey), and top unanswered questions. Monthly reports are delivered in a format you can forward directly to your client. Most bots reach 85 to 90 percent resolution rate within 60 days of launch.

You Already Know

WHICH CLIENT NEEDS A CHATBOT FIRST.

The one where someone’s calendar fills up because they’re processing leads manually. Where documents stack up waiting for data entry. Where reports get built on Thursday night for Friday morning and they’re always slightly wrong. The ops manager sighs a lot. It’s fixable.

Tell us about that client. Walk us through what happens now. The process. The tools. The steps that make people sigh. Don’t polish it. Messy is better than polished. Tell us how long it takes and what breaks regularly.

We’ll scope it. Build it. If it makes sense for your business we’ll move forward. If it doesn’t, we’ll tell you that too. That’s how partnerships actually last.

Your client thinks they hired you. You own the credit. You own the revenue. You own the relationship. We disappear into the delivery.

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