We create assistants that can answer, guide, search or execute actions in your business context, with a clear and useful framework.
AI assistant built for outcomes
What you get in the first weeks
They trust us
Our commitment
Generic chatbots frustrate users. We design AI assistants trained on your data, processes and terminology so they deliver accurate, useful responses that reflect your expertise and brand.
At Inprogress, every assistant is built with clear boundaries, escalation paths and continuous quality improvement to ensure it genuinely helps your users and teams.
Our responsibility
An AI assistant represents your brand and expertise. We take responsibility for ensuring it provides accurate information, handles edge cases gracefully and never misleads your users.
At Inprogress, we implement rigorous testing, monitoring and feedback loops to maintain assistant quality over time.
Recent projects where we made a measurable impact.
Clutchain
Mobile-first gaming product connected to FACEIT, with progression loops, rankings, rewards, and web conversion journeys.
LAUNCH IN PROGRESS
Clink
Web-first whitelabel platform for bio-links and digital business cards, with advanced branding, admin operations, monetization, and real-time analytics.
+500 active entrepreneurs
MyBudly
Mobile+web social ecosystem with gamification, real-world tree planting, mini-games, AI features, integrated crypto wallet, and premium monetization.
€2,000,000 raised
Le Monde
Continuous Sirius evolution to harmonize editorial workflows and streamline newsroom collaboration.
3M+ written articles
COMING SOON
We have supported many other projects. Additional detailed case studies are being prepared to share our approach and measurable outcomes.
We train assistants on your specific knowledge base so they understand your domain, products and customer needs.
We implement guardrails to prevent hallucinations, off-topic responses and inappropriate interactions.
A functional assistant is deployed within weeks, then continuously improved based on real conversation data.
An AI assistant can answer customer questions, guide users through processes, search your knowledge base, qualify leads, provide support and execute simple actions within your systems.
The scope is defined during the design phase based on your specific business needs.
A generic chatbot uses pre-defined rules or general knowledge. A custom AI assistant is trained on your specific data, terminology and processes.
This means it can handle nuanced questions and provide answers that reflect your actual expertise.
We work with your existing documentation, FAQ content, product information, support transcripts and internal knowledge bases.
The more relevant data available, the more accurate and useful the assistant becomes.
We implement retrieval-augmented generation, confidence scoring and source attribution so the assistant only responds when it has reliable information.
For uncertain queries, the assistant escalates to a human agent rather than guessing.
Yes. We can deploy assistants on your website, mobile app, internal tools, Slack, Teams and other communication platforms.
The core assistant logic is channel-agnostic and can be extended to new channels as needed.
Complementary expertise
Based on your current priorities, these expertise areas are frequently combined to accelerate delivery without compromising quality.
Add useful AI features without overcomplicating your product
We integrate AI directly into your product journeys to enrich user experience, accelerate tasks and strengthen perceived value.
View expertiseGENERATIVE AI APPLIED TO PRODUCTIntegrate generative AI where it creates real value
We design concrete use cases for content generation, assistance and automation, aligned with your business needs rather than showcase effects.
View expertiseAUTOMATION & AI AGENTSAutomate repetitive tasks with reliable AI agents
We design automations and agents connected to your tools to reduce manual tasks, streamline operations and save meaningful time.
View expertiseFrom the blog
Methods, costs and field notes to help you prepare your project.
How much does an AI agent cost for a business in 2026? Prices, use cases and pitfalls
Chatbot, business assistant or autonomous agent: realistic price ranges, model usage costs, and the mistakes that blow up the budget.
Read the articleAIIntegrating AI into a SaaS: use cases that create real value
The AI use cases that deliver concrete impact in a SaaS in 2026, without adding unnecessary product complexity.
Read the articleThis expertise by industry
Every industry has its own stakes. See how we tailor this expertise to your vertical.
24/7 lead qualification, RAG on your property base, ICS/Sopra CRM integrations.
Patient triage, pre-consultation, medical RAG with systematic human fallback.
Onboarding, in-app support, interactive documentation. RAG on your product.