- Web Development
Real-time interpreting platform
A confidential service platform engagement built for real-time scheduling and operations. Full details are available on request.
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Solutions
AI chatbots that take repetitive conversations off your team
Your support and sales teams spend their days answering the same questions. We build chatbots that handle those conversations safely, grounded in your own content, and hand off to a human the moment it matters.
- Answers grounded in your docs and data, not model guesswork
- Guardrails and human handoff designed in from day one
- Built by a senior, founder-led engineering team
- NDA-friendly and confidential by default
When every ticket looks the same, people are the wrong tool
If your support queue is full of order status checks, password resets, plan questions, and "how do I" requests, your team is spending expensive hours on conversations that follow a script. Response times slip, agents burn out, and the genuinely hard problems wait behind a wall of repetitive ones. The same pattern hits sales: promising leads ask basic qualifying questions at midnight and get an answer the next afternoon, if at all.
Off-the-shelf bot builders promise a quick fix, but most companies that try them hit the same wall: the bot answers confidently and wrongly, cannot see your product data, and traps frustrated customers in loops with no way out. A chatbot that damages trust costs more than the tickets it deflects. The difference between a liability and an asset is engineering: retrieval over your real content, integration with your real systems, and a clean escalation path to a real person.
Codesigma builds chatbots as production software, not demos. Founded in 2015, we are a senior, founder-led team with 10+ years of software experience, and we cover the full lifecycle from idea to development to deployment to support. We scope what the bot should and should not handle, ground it in your data, wire it into your stack, and keep improving it from real conversation logs after launch.
Talk to us about your projectThe problem
Support and sales teams drown in repetitive conversations. The same questions arrive over chat, email, and web forms every day, response times stretch, and skilled people spend their time on work a script could describe. Generic bot builders make it worse when they answer wrongly or trap customers with no path to a human.
Our approach
We start by mining your real conversation history to find the intents worth automating, then build a chatbot grounded in your own documentation and product data through retrieval, so answers come from your content rather than model improvisation. Guardrails define what the bot refuses to answer, and every conversation has a clean handoff to your team with full context. We integrate with your helpdesk, CRM, and product systems so the bot can act, not just talk.
The outcome
The repetitive conversations get handled around the clock, and your team spends its time on the exchanges that genuinely need a person. Customers get accurate answers grounded in your content, escalations arrive with context instead of starting from zero, and conversation logs give you a feedback loop for improving both the bot and the product it answers for.
How we build it
The components of a chatbot your customers can trust and your team can live with.
Retrieval over your content
The bot answers from your documentation, help center, and product data through retrieval-augmented generation, so responses are grounded in what you have actually published.
Guardrails and scope control
We define what the bot handles, what it declines, and how it responds when it is unsure, so a wrong answer never reaches a customer as a confident one.
Human handoff with context
Every conversation can escalate to your team, carrying the full transcript and detected intent, so agents pick up mid-conversation instead of asking customers to repeat themselves.
Helpdesk, CRM, and product integration
The bot connects to your existing systems to check an order, update a ticket, or qualify and route a lead, turning conversations into completed actions.
Web, in-app, and messaging channels
One conversational core deployed to your website, inside your product, and on the messaging channels your customers already use.
Evaluation and conversation analytics
Automated evaluation before launch and conversation review after it, so you can see what the bot resolves, where it escalates, and what to improve next.
Why teams build chatbots with Codesigma
Senior engineers on the hard parts
Retrieval quality, guardrails, and integration are engineering problems, not configuration. A senior, founder-led team with 10+ years of software experience owns them directly.
Direct communication
You talk to the people building your bot. Decisions about scope, tone, and escalation rules are made with you, not relayed through account managers.
Full lifecycle ownership
We cover idea to development to deployment to support. A chatbot needs tuning from real conversations after launch, and we stay for that part.
NDA-friendly and confidential
Your conversation data, internal documentation, and product plans stay protected. We work under NDA and treat engagements as confidential by default.
Honest scoping
If a conversation type should stay with humans, we say so. A bot that handles a narrow scope well beats one that attempts everything and erodes trust.
From ticket pile to working assistant
Discovery and conversation audit
We review your real support and sales conversations to find the intents worth automating, the ones to keep human, and the systems the bot must reach.
Scope and conversation design
Together we define what the bot handles, its tone, its refusal behavior, and exactly when and how it hands off to your team.
Build and integration
We build the retrieval pipeline over your content, implement the guardrails, and integrate with your helpdesk, CRM, and product APIs.
Evaluation and hardening
Before customers see it, the bot runs against evaluation sets built from your real questions, and we tune retrieval and prompts until quality holds.
Staged launch
We roll out to a limited audience or a subset of intents first, watch real conversations closely, and expand scope as confidence builds.
Monitoring and improvement
After launch we review conversation logs, track resolution and escalation patterns, and keep improving answers, coverage, and cost.
The stack behind it
See what a chatbot could take off your queue
Send us a sample of your most repetitive conversations and we will tell you honestly what is worth automating and what is not.
Ways to work with us
Most Popular
Dedicated Team
A cross-functional team that builds your chatbot and keeps improving it from live conversations, ideal when the assistant is becoming a core part of your customer experience.
Staff Augmentation
Senior engineers with LLM and integration experience who join your existing team to build or harden a conversational product you already own.
Project-Based
A defined scope from conversation audit to launched assistant, suited to a first chatbot for a clear set of support or sales intents.
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Read case studyAI chatbot questions, answered honestly
Bot builders work for simple FAQ deflection. If your bot needs to answer from your own content accurately, act inside your systems, and hand off cleanly to humans, that is engineering work. We build the retrieval, guardrails, and integrations that make the difference between a bot customers tolerate and one they trust.
Start here
Tell us about your project
Describe the conversations flooding your team and we will come back with an honest assessment of what an AI chatbot can safely take on.