Faster answers and more capacity for your teams

Smart assistants handle requests, questions, and approvals faster, more accurately, and securely, without adding to your teams' workload.

AWS Advanced Tier Services Partner

Leaders in automotive, banking, and telecommunications rely on our solutions

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Where they help

Assistants that streamline your core processes

They support teams from HR and IT to manufacturing. They save time, reduce errors, and turn answers into concrete actions within your existing processes.

Service and back office

They handle dozens of recurring questions every day. An assistant saves time, adds new capabilities, and helps teams get the work done more effectively.

HR, IT, and finance

Simple queries slow specialists down. An assistant in MS Teams answers questions about FTE, attrition, or headcount immediately, and runs an RLS-safe export without manual intervention.

Operations and quality

Teams need clear instructions and fewer errors. An assistant prefills fields, recommends the next step, and triggers an action directly in the process.

Management

Managers need visibility and control over processes and key metrics. An assistant provides real data and shows its impact, with secure access to existing systems.

Manufacturing and maintenance

Technicians resolve faults faster and more safely. In response to a question, the system returns a specific procedure with citations, safety instructions, and a checklist.

Capacity planning

When planning people and skills, the assistant recommends the right people for a shift or project, flags expired certifications, and drafts a development plan.

Comparison

A basic chatbot vs. a Smart Assistant

A basic chatbot
  • Answers from the model's general knowledge and can generate unsupported answers
  • Does not know your processes, products, or terminology
  • Does not retain context between questions
  • Gives everyone the same answer
  • Weak integration, with no access to internal systems
  • Only answers, never acts
A Smart Assistant
  • Answers from your own data and documents
  • Understands your domain and your organization's context
  • Keeps track of conversational context
  • Adapts the answer to the user's role
  • Connected to CRM, ERP, and databases
  • Triggers actions subject to permissions, audit logging, and approval
What you get

Key benefits

Shorter handling times

Automating steps such as ticket updates and approvals reduces TTR and MTTR without waiting for manual intervention.

Less routine work for your teams

Assistants handle recurring questions and tasks (status, deadlines, forms) and save HR, IT, and back-office teams dozens of hours each month.

Measurable impact on KPIs

Higher deflection, better user satisfaction (CSAT/NPS), and cost savings, with A/B testing, dashboards, and an audit record of every action.

Secure automation

Assistants operate within assigned permissions, with audit trails and approvals, and integrate with Jira, ServiceNow, SQL/Power BI, and MS Teams.

What you gain

From idea to production in weeks

Within 14 days PoC

A working prototype

A prototype assistant built using the data you provide, so the concept can be validated.

Within 30 days MVP

A solution using real data

Expanded content and connected data sources, ready for initial real-world use.

Within 60 days Production

Full rollout

A fully working, integrated solution in production.

Get an AI assistant with support from AWS
See how an assistant handles repetitive tasks, integrations, and secure workflow steps. Through our work with AWS, we will prepare a proof of concept for your scenario at no cost.
Frequently asked questions

Questions we hear most often

Where do the models and the data run?

On AWS or another cloud. In a multi-cloud setup, they can also run in your own tenant. Your data is not used to train public models.

How do you handle security for queries over the data?

Server-side NL to SQL/DAX, RLS/RBAC, auditing, and RLS-safe exports. Everyone sees only what they are authorized to access.

How can we start small?

We start with a PoC and an MVP (two to six weeks) with clear KPIs and a plan for scaling.

What data can the assistant work with?

Corporate, commercial, and product data, both static and continuously changing.

See an assistant working on your own data

In a short call, we'll propose a first use case with the fastest time to value. No obligation.