AI process automation

Automate your processes with AI, without adding another tool to manage.

We connect your files, email and software to remove duplicate entry, speed up follow-ups and keep a person in the loop when a wrong decision would be costly.

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Automation workflow connecting Gmail, Excel, a processing engine, a human decision and a validated result.
The work piling up

Your team copies, checks and chases the same information every week.

The problem is not one isolated task. It is the same work passing through several people and tools with no clear view of where it stands.

  1. Email received
  2. Excel
  3. Your software
  4. Human review
  5. Follow-up

The more volume grows, the more this process costs.

Automation example

What can you automate?

Start with a process that happens often, receives similar information and leads to a clear result. Here are six examples.

  1. Request handling

    1. Email received
    2. Information extracted
    3. CRM updated
    4. Owner assigned

  2. Documents

    1. Document received
    2. Information extracted
    3. Review
    4. Filing
    5. Notification

  3. Quotes

    1. Customer request
    2. Data gathered
    3. Draft generated
    4. Human review
    5. Sent

  4. Accounting

    1. Invoice received
    2. Data extracted
    3. Validation
    4. Accounting software

  5. Customer service

    1. Request received
    2. Classification
    3. Information found
    4. Reply prepared
    5. Review

  6. Reporting

    1. Data from several systems
    2. Consolidation
    3. Report
    4. Automatic distribution

An email arrives. The useful information is captured, the CRM is updated and the request reaches the right person.

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Our method

Here is what you will have before moving to the next step.

Each step leaves you with a clear decision, a gain to check or a process ready to use. You do not pay to discover the problem after work has started.

  1. Map

    A map of the current work

    We put what starts the work, the information moving through it, the decisions and the important cases on one page.

  2. Choose

    The first gain to target

    Volume, time, errors and customer impact help choose the first process.

  3. Prepare

    Rules and human cases confirmed

    Simple steps follow your rules. Important cases stay with your team.

  4. Launch

    A live process with visible tracking

    Your tools exchange the right data, errors become visible and the gain can be checked.

What we build

One complete journey, from input to result.

We connect the steps, your tools and the right checks so a process can move on its own when it should and involve your team when it needs to.

Your tools

Email · CRM · Accounting

Automation

Your rules · AI, when it helps · Human review

Actions

Alerts · Tracking

Your team steps in only when a case needs judgment.

Target outcome

The same volume moves with less copying and chasing.

Your team steps in when a case needs judgment. The rest moves between your tools, with a clear view of every step.

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Why Project Factory?

Not AI for AI’s sake.

We look for the simplest, most reliable way to remove manual work, not the most impressive technology.

  • We start with the process

    We first identify what is actually costing time or creating errors.

  • We use your existing tools

    We add new software only when it brings something you genuinely need.

  • We use AI only when it helps

    A clear rule is often better than an AI model for a simple decision.

  • We build it to keep working

    We plan for errors, protect your information, keep human review and show you what is happening.

Case study · Live in production Dentoflow

An automated ecosystem, from acquisition to learning.

The website, purchases, course access and internal tools move together in one product.

Dentoflow dashboard showing sales, revenue and courses in one platform.
1,700+
users
4
connected journeys
1
shared foundation
Situation
Acquisition, purchases, access and operations needed to stay coherent without multiplying systems.
Decision
Bring the website, SaaS platform, learning experience and internal tools together, then automate the handoffs between them.
Outcome
A coherent path from discovery to paid use, ready for new courses and features.
View the project Dentoflow
Frequently asked questions

Questions before automating a business process

Direct answers about choosing the process, budget, timing, AI, data and control after launch.

Which process should we automate first?

Start with a frequent, stable and measurable process whose errors or delays have a visible cost. It should have a clear trigger, expected outcome and enough volume for the gain to be worth it.

How much does AI process automation cost?

Cost depends on the number of tools being connected, data quality, special cases, approvals and the tracking needed. We first look at one complete process, then estimate the first release and what can wait.

How do we know whether automation will pay off?

We check before we recommend a project. We compare what the process costs today (time, volume, errors and delays) with the cost to build and run the automation. If the possible gain does not justify the investment, we tell you.

How long does it take to automate a process?

Timing depends mainly on access to your tools, rules to confirm, test data and special cases. A well-defined first process can be delivered before broader automation; the initial review helps set a realistic timeline.

Does every automation need artificial intelligence?

No. Clear rules are easier to check and explain when they are enough. AI becomes useful for reading documents, messages or images that change from case to case; strong automation often combines rules, AI and human review.

Can you connect our existing software and files?

Yes. We check how each tool can exchange data, the access it needs and its limits before choosing the connection. When a direct connection is not possible, we suggest a controlled import or transition step instead of a fragile solution.

How do you protect company and customer data?

We limit the data used, access and retention based on the process. Providers, where data is processed and review steps are documented to help your company meet its obligations.

What happens when the AI is not confident?

When it is not confident enough, AI can send the case to a person with the useful information. Your team keeps the decision when an error could have an important effect, then improves the process.

Who controls the process after launch?

Responsibilities, accounts, access and code ownership are defined before the project. We also provide what you need to see when a step fails, change a rule and plan maintenance.

First conversation

Start with the process costing your team the most time.

Describe the steps, tools and special cases. We will help separate what can be automated, what should stay human and what changes the budget.

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