AI Engine module · Knowledge agent

Company knowledge, where your team works.

Helps find procedures, product information and current project agreements. Every answer points to its source.

Module demonstration with sample data.

  • WeAreFuture client: SMAY
  • WeAreFuture client: Ergy
  • WeAreFuture client: TIM
  • WeAreFuture client: Henkel
  • WeAreFuture client: Crido
  • WeAreFuture client: PFR
  • WeAreFuture client: Tchibo
  • WeAreFuture client: Stock
  • WeAreFuture client: Winkhaus
  • WeAreFuture client: TRUMPF

Workflow

How the agent works

The agent begins with a question and sources the person is permitted to access. The answer preserves that connection to evidence.

  1. Understands the question.

  2. Finds the right source and document version.

  3. Answers with a source reference.

  4. Routes missing information to the right person.

Shared knowledge matters when people find answers faster and can take on tasks that previously required an expert.

Time saved

Employees get answers without searching multiple places or involving more people.

Integrations

Possible integrations

Sources and access permissions define what the agent can use.

TeamsSharePointProject documentationProduct databaseInternal systems

We confirm the scope after reviewing data, permissions and interfaces.

Launch conditions

We agree launch conditions after reviewing the data and integration scope. Together, we define the process, preparation needed and acceptance criteria.

Skills and processes
  • Knowledge search
  • Version checks
  • Sourced answers
  • Handoff

Getting started

Let’s check readiness to start

You do not need everything ready in advance. Together, we review these areas, identify gaps and agree what to prepare before a pilot.

  1. Team questions. Gather questions that are hard to answer today. Include known answers or identify people who can check them.

  2. Knowledge sources. Identify documents, SharePoint, product knowledge and other sources. Let’s review their currency and owners.

  3. Access boundaries. Agree who may see which information. With IT, we check permissions and where the agent will be used.

  4. Answer quality. Select pilot users and a knowledge owner. Agree how to check sources, errors and missing information.

Pricing

What the price depends on

  1. Knowledge sources

    How many sources the assistant answers from, such as documents, SharePoint and the product database, and how up to date they are.

  2. Permissions

    How many groups have different access to information and how precisely the assistant has to follow your permissions.

  3. Workplace and environment

    Where the assistant works, for example in Teams, and whether the data stays in the cloud or on your servers.

The first call is free. We quote the price after reviewing the data and integrations, and when the idea first needs testing on your data, we start with a feasibility study.

Let’s talk about the work you want to improve.

Tell us how a process works today. Together, we will explore where AI Engine can help and which module to start with.

Book a call

Or write to: hello@wearefuture.ai

Ignacy Bochiński
Ignacy BochińskiPartner · Clients & MarketsLinkedIn profile

We’ll get back to you within one business day.

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