Applications javista 2

/Agentic AI

AI agents for business delivering measurable productivity gains

Clear promise

Useful, adopted, and measurable AI business agents. Not demos. Results.

Transform your CRM and processes into true operational copilots with integrated, governed, and productivity-focused AI agents.

  • Immediate reduction of low-value repetitive tasks
  • Measurable productivity gains from the first weeks
  • Genuine adoption by business teams, not through enforcement

Why AI still doesn’t lighten the daily workload of teams

Your teams face:

  • Time-consuming repetitive tasks (data entry, qualification, information retrieval)
  • Constant operational overload
  • Underutilized CRM and business tools
  • Excessively long processing times
  • Increasing difficulty managing the workload without hiring

The problem isn’t a lack of tools.
The problem is the gap between data… and action.

Why 90% of AI projects stop after the demo

In most organizations:

  • AI is tested through isolated POCs
  • The demo is convincing
  • No lasting adoption follows

Why?
Because AI is often launched:

  • Without a prioritized business use case
  • Without measurable value indicators
  • Without a clear deployment roadmap

AI without a method becomes a gadget.
Integrated, structured, and measured AI becomes a performance lever.

What is a business AI agent according to Javista

A business AI agent is not a generic chatbot.

It is a specialized operational assistant that:

  • Handles a specific business task
  • Integrates with CRM and existing tools
  • Acts at the right time, in the right place
  • Delivers measurable productivity gains

What it does:

  • Qualify a request
  • Assist a sales team
  • Respond to internal support
  • Search for and organize information
  • Automate repetitive actions

What it does not do:

  • Replace teams
  • Operate outside the actual IT system
  • Deliver value without adoption

Simple, concrete, and repeatable use cases

Each agent is designed to eliminate a real task, not to impress.

Use Case Task Eliminated Time Saved Department
Qualification Agent Manual sorting and qualification 30–50% Sales / Service
Internal Support Agent Information search / tickets 40% Support
Sales Assistance Agent Meeting preparation / summaries 20–30% Sales
HR / Finance Agent Recurring responses 25–40% HR / Finance
Knowledge Agent Document research 30% All departments

Technological environments

adoption
1

Copilot Studio

Create and deploy intelligent copilots capable of automating business tasks and assisting your teams in real time.

2

Microsoft Foundry

Design, train, and industrialize your AI solutions in a secure and scalable environment.

3

Dynamics 365

Unify your business and operational data to drive performance in real time.

4

Power Platform

Accelerate innovation with applications, automations, and dashboards created quickly and without technical complexity.

5

Azure OpenAI

Integrate advanced generative AI models into your business processes while ensuring security and compliance.

A common format across all our offerings

As with all Javista offerings, we start with an ROI Decision Sprint (4 to 6 weeks).

Objective:

  • Deploy an AI agent in real conditions
  • Observe its actual usage
  • Measure productivity gains
  • Make a clear decision on the next steps

The AI Agents Sprint in practice (4 to 6 weeks)

Aligner Conseil IA, copilot et agent
1

Scoping & baseline

  • Identification of the specific business problem
  • Definition of the productivity KPI
  • Measurement of the initial situation
  • agenda javista
    2

    Targeted implementation

  • AI agent configuration
  • Connection to existing data and tools
  • Integration into the real work environment
  • réalisation Javista
    3

    Usage & observation

  • Real usage by the teams
  • Observation over several weeks
  • Collection of usage data
  • conversation Javista
    4

    Measurement & decision

  • Before/after comparison
  • Factual presentation of results
  • Explicit decision: Scale / Adjust / Stop
  • Ce que cette offre n’est pas

    • Un POC IA sans mise en production.
    • Une démo isolée sans KPI.
    • Un projet IA exploratoire sans objectif métier.
    • Une IA hors CRM et hors processus.
    • Une promesse sans engagement mesurable.

    Cette offre est volontairement exigeante.

    Elle s’adresse aux organisations qui veulent des résultats.

    Success indicators

    The tracked indicators include:

    • Actual time saved per task
    • Number of automated actions
    • Reduction in human interventions
    • Frequency of AI agent usage
    • Perceived operational relief

    Without measurable indicators, the Sprint does not start.

    What the Sprint includes

    • Scoping of a specific business use case
    • Implementation of an operational AI agent
    • Integration into the existing environment
    • Use by real users
    • Objective measurement of productivity gains
    • A clear recommendation on next steps

    What the Sprint is not

    • A generic AI POC
    • A technology demo
    • A long project in disguise
    • A promised ROI in advance

    Anything that is not measurable, observable, and useful is excluded.

    Client case

    Esker An AI agent that truly accelerates sales decision-making

    Target:

    B2B sales teams managing complex accounts and opportunities.

    “With Javista’s support in deploying Copilot for Sales, we realized 100% of the identified use cases. This collaboration now results in a major productivity gain: meeting preparation and transcription now take only a few minutes.”

    Context

    All the data already existed in Salesforce. But it was not usable when decisions needed to be made.

  • Time wasted searching for the right information
  • Multiple screens and reports
  • Slowed commercial decisions
  • Less time with clients
  • users

    The AI Agents Sprint (≈ 35 days)

    A simple goal: save meaningful time for salespeople.

  • AI agent connected to the CRM
  • Natural language questions
  • Immediate answers with key data
  • Actual usage observed over several weeks
  • trending up

    Measured Results

  • 2 to 3 hours saved per salesperson per day
  • Actual usage rate > 70%
  • Significantly improved commercial responsiveness
  • thumbs up

    Decision: Scale

    The value is measured in the field. Adoption is real. Productivity gains are quantified. AI is no longer an exploratory topic. It becomes an operational lever.

    Prêt à transformer l’IA en productivité réelle ?

    Commencez par un échange de cadrage pour identifier :

    • La tâche prioritaire à supprimer
    • L’agent IA pertinent
    • Les KPI à mesurer

    AI sprint

    How to get started?

    No need to launch a global AI program.

    • Identify a truly time-consuming business task
    • Define a measurable productivity KPI
    • Launch an AI Agents Sprint (4 to 6 weeks)

    AI is not deployed on conviction.
    It is deployed based on results.

    6 weeks to measure.
    Then decide.

    Frequently Asked Questions

    • How long to see results?
      From the end of the Sprint (4 to 6 weeks), with measured KPIs.
    • Do we need to change our CRM?
      No. The agents integrate with your existing CRM.
    • Is it secure?
      Yes. The agents comply with enterprise security and governance standards.
    • Can we start small?
      Yes. One agent, one business area, one objective.
    • Is this offering compatible with Microsoft?
      Yes. It is built on Copilot Studio and Microsoft Foundry.