What Should Companies Prepare Before AI Automation Consultation?

Want to consult on AI Automation but unsure what to prepare? Companies don't need to come with a complete technical design. The most important thing is to bringoverview of business processes, problems that occur, data examples, existing software, work volume, and targets to be achieved.

This preparation makes the consultation session more focused. Companies also don't need to rush. search for software licenses before knowing the workflow and integration needs clearly.

What Should You Prepare Before a Consultation?

• Choose 3–5 business processesthe most problematic or time-consuming.

• Record the existing process from start to finish, including the PIC at each stage.

• Get ready2–5 data examplessuch as spreadsheets, forms, invoices, or report formats.

• Note all software involved, including CRM, ERP, email, WhatsApp, and databases.

• Determine the target you want to achieve, for example reducing the processing time from10 minutes to 3 minutes.

There's no need to create complex technical documentation. Correct operational information is more useful in the early stages.

Once the needs are identified, the company can then determine whether integration, development, or search for software licenses additional.

1. Bring a Business Problem, Not Just an Idea of ​​Using AI

One of the conditions that is quite often found during discovery is that companies come with requests:

"We want to use AI for operations."

The problem is, there is no specific process that we want to improve.

A more effective approach is to explain the real problem, for example:

"Our team receives 100 leads every day and all data is still recorded manually."

If recording one lead takes 5 minutes, the company spends approximately:

100 × 5 minutes = 500 minutes or more than 8 working hours per day.

Data like this makes it easier for consultants to measure potential business impact and determine whether a process requires AI or whether traditional automation is sufficient.

2. Document the Existing Process as Simply as Possible

There is no need to create a technical flowchart right away.

Just write:

Trigger → Process → PIC → Decision → Output.

For example:

WhatsApp Customer → Admin reads message → Notes Google Sheets → Determines category → Follow-up → Sales Handoff.

From this simple flow, consultants can see bottlenecks and areas that have the potential to be automated.

If the process involves multiple applications, record them all. This information will later serve as the basis for evaluating integration and requirements. search for software licenses.

3. Prepare Sample Data That Is Actually Used

AI Automation is highly dependent on data.

Therefore, providing real examples is much more effective than simply explaining that the company has a "customer database".

Examples could be spreadsheet structures, invoice formats, CRM fields, report templates, ticket categories, or anonymized conversation samples.

The consultant can then determine whether the data isstructured atau unstructured, how the data is read, and which system is the source of truth.

If the data resides in a specific software, API and export capabilities also need to be checked before the company decides. search for software licenses new.

4. Record Existing Software and Systems

Make a simple list of the applications used.

For example:

WhatsApp → Google Sheets → CRM → ERP → Dashboard.

Consultants need to know whether each system providesAPI, webhook, database access, or other integration methods.

Why is this important?

A workflow that appears simple from a business perspective can become complex if one of the systems does not provide integration access.

Therefore, don't change systems too quickly. First, evaluate whether the existing software is still usable before replacing it. search for software licenses.

5. Set Measurable Goals

Targets such as"operations become more efficient"too broad.

Use comparable indicators.

For example:

Processing time:15 minutes → 5 minutes target.
Manual input:200 transactions/day → 80% target automatically.
Response time:30 minutes → target under 5 minutes.

This figure becomes the baseline for measuring the success of automation after implementation.

From this target, the consultant can also determine whether the company needs an AI API, database, workflow engine, CRM, or search for software licenses.

Checklist Before Meeting an AI Automation Consultant

• Identification3–5 main pain points.

• Document existing processes.

• Record the PIC of each process.

• Calculate transaction volume.

• Calculate manual processing time.

• Prepare sample data that is safe to share.

• Make a list of existing software.

• Determine automation targets or KPIs.

• Note down the needs search for software licenses which is still undefined.

Not all information has to be perfect. In fact, any gaps found can be part of the discovery process.

FAQ

Does a company have to have an automation idea already?

No. Simply bring the problem and existing process. A consultant can help identify relevant automation opportunities.

Is it necessary to prepare a database?

Not necessarily. However, example data structures are helpful in understanding how workflows can be built.

How many processes need to be discussed?

Starting from 3–5 priority processes, then select 1–2 use cases with the greatest impact for further analysis.

Is it necessary to provide direct access to the system?

Not always in the initial session. Screenshots, sample data, and workflow explanations are usually sufficient for discovery. Technical access can be granted when needed with appropriate security controls.

Do I have to purchase software before the consultation?

No. It is better to determine the requirements first before search for software licenses, so that purchases are based on real needs.

Who should attend a consultation session?

At a minimum, there should be a business process owner or PIC who understands the process. For further discussions, the IT team can be involved to discuss integration and security.

Should confidential data be provided?

No. Data can be anonymized. What's needed initially is usually the structure, format, and case studies.

What if the company's processes are not documented?

No problem. Existing processes can be mapped together during discovery through interviews with the relevant PICs.

What results should be expected after the consultation?

Ideally, the company has an overviewpain points, process mapping, automation opportunities, integration needs, use case priorities, and next step implementation. From these results, the development needs and search for software licenses becomes clearer.

The best preparation before AI Automation consultation is not to create your own technology design, butunderstand the business problem and bring evidence of the current processes.

With sufficient information, consultations can more quickly produce realistic and measurable solutions. Once requirements are validated, the company can then determine the architecture, development, integration, and search for software licenses that best suits your business needs.