For companies whose teams lose time looking for answers

AI Assistant for Business

A private AI assistant for your team: ask a question and get the answer from your own documents, with the source, in Slack, Teams or your intranet.

Overview

An AI assistant for business, from the first question to daily use

Your people already have most answers somewhere: a folder, a wiki page, a colleague. We build an AI assistant in Slack, Teams or your intranet that finds the right paragraph, shows its source and respects who may read what.

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  • It searches Drive, SharePoint, your wiki and PDFs, and shows each person only what they are allowed to see.

  • Single sign-on, per-user permissions and logs, on our cloud or on your own servers.

  • We read the questions it couldn’t answer, add the missing sources and report how often it gets things right.

Scope

What’s included in an AI assistant for business

What an assistant project covers, from the first workshop to support after launch. If you need something that isn’t on the list, we’ll tell you up front.

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Plan and set up

  • Workshop on your team’s real questions
  • A map of your document sources and who may see what
  • Model and hosting choice, explained in plain words
  • Security and data review (NDA, GDPR)

Build and connect

  • Connectors to Drive, SharePoint, Confluence or Notion
  • Sign-in with your existing accounts (SSO)
  • Answers that link to their sources
  • An interface in Slack, Teams, your intranet or a web app

Launch and after

  • A pilot with a real team and an accuracy report
  • Admin panel for sources, users and logs
  • Training for admins and power users
  • Handover of code and documentation, plus ongoing support

Recognition

Recognized by the industry

Independent awards and client reviews, not just our own word.

5.0
Average rating on TechBehemoths & Clutch
30+
clients across the globe
7+
years of building digital products

Some of the companies we work with

Use cases

What an AI assistant can do for your team

Assistants save the most time where knowledge is scattered across documents, people and tools. To work through a task across systems, see AI agent development; for customer-facing chat, see AI chatbot development.

  • Company knowledge search

    Ask in plain language and get the answer with its source from your wiki, policies, contracts and manuals.

  • Email and meeting summaries

    Long threads and meeting notes turned into a short summary with the decisions and next steps.

  • Questions about your own data

    Ask about sales, support or stock in words and get figures and a chart instead of waiting for a report.

  • Faster onboarding

    New colleagues get answers without interrupting the experts.

  • Proposals and tender answers

    Drafts a first version from past proposals and your product documentation.

  • HR, legal and finance Q&A

    Policy questions answered from the right documents, visible only to those allowed to see them.

Access and privacy

Each person sees only what they are allowed to

An assistant must never show the HR file to sales. Access control is built in from day one.

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  • Permissions follow your systems

    Answers come only from documents the signed-in person can already open.

  • Not used for training

    We work with AI providers that do not train their models on your data.

  • On your servers

    When the data is sensitive, the assistant and the model can run in your infrastructure.

  • NDA and GDPR

    We sign an NDA before we start and process personal data in line with GDPR.

How we work

How an AI assistant project works with us

We start with one team and one set of questions, then widen.

  1. Choose questions and sources

    We find out what your people ask and where the answers live, and decide which documents the assistant may use.

  2. Connect and index

    We connect your document stores and sign-in system so answers follow the permissions you already have.

  3. Test with your team

    A pilot group asks real questions. We measure correct answers with sources and fix the gaps in your content.

  4. Roll out and improve

    The assistant opens to more teams in Slack, Teams or your intranet, and we keep reviewing the questions it misses.

Technology

Technology behind our AI assistants

We choose per project. These are the tools we know well.

  • Language models

    • OpenAI GPT
    • Anthropic Claude
    • Google Gemini
    • Llama
    • Mistral
  • Search and retrieval

    • PostgreSQL + pgvector
    • Elasticsearch
    • LangChain
    • LlamaIndex
  • Document sources

    • SharePoint
    • Google Drive
    • Confluence
    • Notion
    • PDFs and scans
  • Where it runs

    • Slack
    • Microsoft Teams
    • your intranet
    • web app
  • Hosting

    • Azure
    • AWS
    • Google Cloud
    • your own servers

Engagement models

Ways to work with us on your AI assistant

Launch for one team at a fixed price, roll out month by month and keep the answers accurate. You always talk to the people who build your assistant.

  • Fixed-price assistant project

    Most common

    One team, one set of documents and a working assistant in about four weeks, then more phases, each priced up front.

    Get a quote
    • Questions and sources chosen with your team
    • Tested on real questions, with an accuracy report
    • Every next phase scoped and priced up front

    Best if you want proof before a bigger decision.

  • Ongoing rollout and development

    Monthly

    Monthly capacity to add teams, sources, single sign-on and permissions, guided by how people use it.

    Get a quote
    • New teams and sources from a shared backlog
    • Missed questions turned into improvements
    • Scale up or down with notice

    Best when the pilot has proven its value.

  • Assistant maintenance and support

    After launch

    Monitoring, fixes and model updates, so answers stay accurate as your documents and people change.

    Get a quote
    • Monitoring and a monthly answer-quality report
    • Broken connectors and errors fixed fast
    • Model updates without rebuilding

    Best for assistants already in daily use.

Not sure which fits? Let’s talk

Testimonials

What our clients say

Reviews from founders and teams we have built products with, also published on Clutch and TechBehemoths.

  • TechBehemoths

    Softclaire is development company unlike (many) others. Friendly and flexible, good with deadlines and trustworthy. Experts in multiple fields. We are very happy to work with them as development partner. Very much recommended!

    Arno Bakker Co-owner at Mediascape
  • TechBehemoths

    We have been working with Softclaire for almost 2 years now, on our main product - an online gaming website, play-games.com. Being in the web games niche, things change fast so we need to adapt on the go - and we can trust them with this. They are easy to work with, proactive, and manage work flow very well. We value their transparency and their perseverance in every task they undertake.

    Stefan Naghi Co-founder at FIRST PIXEL SRL
  • TechBehemoths

    We approached Softclaire with nothing more than an idea and a few initial mockups for our SaaS product. Their team stepped in guiding us through strategic planning, development and devops. We are still working with them for ongoing maintenance and feature updates. If you're looking for a reliable, long-term technical partner, I highly recommend them.

    Alexandru Mihalache
  • Clutch

    Within 6 months of our app launch we have gained 750 users. We have had a huge boost in traffic on the platform since launch and have multiple 5 star ratings on the App Store. We have also had comments from other software developers commenting on how brilliant the app is structured.

    Nassouh Kabbani CFO at Pocketask Inc.
  • Clutch

    The team delivered everything on time and provided a mind map to showcase the progress. Overall, they were very flexible and committed to meeting expectations.

    Mihai Brebu Director at Puapi
  • TechBehemoths

    We had an idea for a tech startup in the medical niche, but we lacked the expertise to design and develop a product of this scale. Thankfully we found an amazing team that guided us through the process every step of the way.

    Aron Dumitrache Medtech Innovator
  • TechBehemoths

    A few months ago, I contacted them for a custom Perfex CRM module and the e-Invoice module. Their work is of exceptional quality, and I am extremely satisfied with both the quality and the budget. I highly recommend Softclaire to all businesses and investors!

    Mirela Marin
  • TechBehemoths

    Softclaire created a beautiful, functional website for us, exactly as we instructed.

    Paul Radovan CEO at Print Services

Good to know

Frequently asked questions

Get an estimate
How is this different from ChatGPT?
ChatGPT knows the internet, not your company. Your assistant answers from your own documents and data, follows your access rules, shows where each answer comes from and can take small actions, such as creating a ticket.
What is the difference between an AI assistant and an AI chatbot?
An assistant serves your team and answers from internal documents, with access rules per person. A chatbot serves your customers on your website or WhatsApp, from public content. The technology is similar; the audience, the data and the safeguards differ. See AI chatbot development for the customer-facing version.
What if the assistant does not know the answer?
It says so instead of inventing one and points to who can help. These questions also show what is missing from your documents, so you can fill the gaps.
Can employees see only what they are allowed to?
Yes. The assistant follows access rules per user or team, so sales staff do not get answers from HR or finance documents.
Where can the assistant be used?
In Slack, Microsoft Teams, your intranet, or a web or mobile app. The same assistant can work in several places at once.
Is our data safe?
Yes. We use AI providers that do not train on your data, store your documents securely and can run the assistant on your own servers when needed. We can sign an NDA before we start.
Which systems and documents can it connect to?
Common document stores such as SharePoint, Google Drive, Confluence and Notion, file shares, PDFs and scanned documents, plus your sign-in system so permissions carry over. For other systems we build a connector, as long as there is a safe way to read the data.
How long does it take, and what does it cost?
A pilot for one team and one set of documents usually takes about four weeks, at a fixed price. After that, each rollout phase is scoped and priced before we start, so there are no open-ended bills. Running costs (hosting and AI model usage) are measured and reported every month.
Who owns the assistant, and who maintains it after launch?
You do: the code, the configuration and your data stay yours, with no lock-in. After launch you can run it yourselves with the handover documentation, or let us look after it with a monthly care plan.

Ready to discuss your AI assistant?

Tell us what you want to build. We reply with the next steps.

Or email us at contact [at] softclaire.com