For many Bizagi customers, the starting point of their AI adoption journey is still unclear: where can we begin to generate real, measurable value with Bizagi?

This article is the first in a new series titled “Where to start your AI Adoption journey with Bizagi?”. Throughout this series, we will explore how Bizagi’s AI capabilities—Ask Ada, AI Workers, and AI Agents—can be adopted progressively, responsibly, and with clear business outcomes.

We begin with Ask Ada, Bizagi’s conversational AI experience, and the fastest way to unlock the value of your business data.

Ask Ada: An Early Win on Your AI Journey

Ask Ada is designed to give business users instant access to insights hidden in their processes and data—without technical barriers, custom reports, or constant dependency on IT. That is why Ask Ada represents a natural first step in Bizagi’s AI adoption journey.

Ask Ada enables organizations to build confidence with AI through everyday questions, real operational answers, and visible ROI. Most importantly, it allows you to start small while involving the right people and processes from day one.

A successful Ask Ada rollout typically evolves in three waves.

First Wave: Prove Value Quickly with the Right Process

The goal of the first wave is simple: deliver a visible and credible win.

Start with:

• One business process that already has clean, well‑governed data.

• Minimum viable Data Domains, clearly defined and easy to understand.

• A focused group of users with frequent information needs.

The ideal roles to enable early include:

• Operations Analysts
  These users constantly query process data. Ask Ada can replace dozens of weekly IT requests by allowing them to ask questions directly and get immediate answers. This group often shows the fastest ROI.

• Department Managers
  Managers need real‑time visibility into process status without waiting for scheduled reports. With Ask Ada, they gain autonomy to check performance, bottlenecks, and workload on demand—before critical meetings or decisions.

This first wave is about speed, clarity, and confidence. One well‑chosen process can do more for adoption than an ambitious, multi‑process rollout that no one actively uses.

Second Wave: Expand Reach and Context

Once Ask Ada has proven its value, the second wave focuses on scaling impact.

At this stage, organizations typically:

• Expand Ask Ada to three to five additional processes.

• Activate the Knowledge Base, integrating internal documents such as policies, procedures, and guidelines.

• Refine Data Domains based on real user feedback.

New roles become especially relevant:

• Compliance and Risk Teams
  These teams need fast access to regulatory information, internal policies, and historical cases. By combining process data with curated Knowledge Base content, Ask Ada becomes a trusted assistant for informed and compliant decision‑making.

• Customer Service and CX Teams
  Customer‑facing teams frequently search for case status and customer history. Ask Ada reduces time spent navigating systems, accelerates responses, and minimizes escalations—all while keeping answers consistent and accurate.

This wave transforms Ask Ada from a reporting alternative into a daily operational assistant across multiple teams.

Third Wave: Executive Decisions Without Intermediaries

In the third wave, Ask Ada becomes part of strategic and executive workflows.

Key activities include:

• Integrating Ask Ada into executive decision flows.

• Continuously refining Data Domains together with business users.

• Elevating Ask Ada from insight discovery to decision enablement.

The primary audience here is the C‑suite and senior leadership. Executives no longer need technical training or complex dashboards. Instead, they leverage Ask Ada‑driven queries to fuel executive dashboards and decision moments—with clarity, speed, and confidence.

The value is simple but powerful: visibility without intermediaries, especially when decisions matter most.

Three Non‑Negotiable Principles for Success

Across all three waves, organizations that succeed with Ask Ada consistently apply three principles:

1. Start with a “photogenic” process
   The pilot does not have to be the most critical process—it must be the one with clean data, a clear domain, and users who will immediately see value. A fast, visible win beats a perfect implementation that no one adopts.

2. Champions are your most important asset
   Champions are not random early adopters. They are credible voices within their teams, capable of communicating value and influencing decision‑makers. Investing in their time, recognition, and feedback is what turns a successful pilot into organic expansion.

3. Data governance is a prerequisite, not a consequence
   Ask Ada is only as strong as the Data Domains that power it. Inconsistent data or poorly defined access will create distrust from day one. That is why data quality should be audited before enabling Ask Ada—not after.

Measuring ROI from Day One

One of the advantages of starting your AI journey with Ask Ada is that ROI can be measured early and clearly, and organizations can track tangible impact across three key dimensions:

Recovered Time — Business Users

Ask Ada gives business users direct access to answers that previously required manual analysis, report requests, or system navigation. Operations analysts, managers, and customer‑facing teams recover hours every week by asking questions in natural language and getting immediate, trusted responses.

IT Capacity Released

By reducing ad‑hoc reporting requests and data queries, Ask Ada frees IT teams from repetitive tasks. This released capacity can be reinvested in higher‑value initiatives such as platform optimization, governance, and advanced automation—without increasing headcount.

Faster, Better Decisions

Ask Ada accelerates decision‑making by removing intermediaries between data and decision‑makers. Whether it’s a manager preparing for a meeting or an executive evaluating a critical situation, real‑time insights lead to quicker, more confident decisions with measurable business impact.

Together, these three metrics form a practical and defensible ROI model that resonates with both operational teams and leadership.

Start Smart. Start with Ask Ada.

Your AI adoption journey does not need to start with disruption or complexity. With Ask Ada, you can begin by empowering users, building trust in AI, and maximizing the value of the data you already have.

In the next articles of this series, we will explore how AI Workers and AI Agents extend this foundation into execution and autonomy.

In Bizagi, some AI capabilities operate asynchronously or perform complex processing behind the scenes. Understanding this behavior helps set expectations and avoids misinterpreting normal AI processing time as a performance problem.

AI is working, not waiting

AI systems analyze context, process information, apply reasoning to generate structured outputs. Depending on the task, this may involve multiple steps such as reading data, classifying information, generating embeddings, or producing structured responses. All of this takes time.

Two common examples where this is especially visible are Enterprise Knowledge vectorization and AI Workers execution.

Example 1: Enterprise Knowledge vectorization

When you create, update, and especially deploy Enterprise Knowledge, the knowledge is not available immediately. Before it can be used by AI Agents or AI Workers, the content must go through a vectorization phase.

During this phase, the AI reads and analyzes the source content, classifies and segments the information and generates embeddings for retrieval and reasoning.

This process runs asynchronously and may take time depending on factors such as data volume, number of segments defined in Studio, and system load. While this happens, the Knowledge may appear as “in progress” or “not available”. This is expected. The AI is actively working to prepare the information so it can be used reliably and accurately once processing is complete.

Example 2: AI Workers execution time

AI Workers may take additional time to complete their execution, especially when they are not managed by the Scheduler. In these cases, the AI Worker runs directly as part of the user’s interaction with the task.

When this happens, the AI Worker is analyzing the form and field descriptions, building context from available data and generating structured outputs.

Forms with many fields, rich descriptions or large contextual data naturally require more processing. During this time, the AI Worker is not idle, it is actively generating accurate information before populating the form fields. When opening a form with an AI Worker not managed by the scheduler, that takes two to three minutes to load, is not a performance issue: it is normal AI behavior.

Final thoughts

In both scenarios, the key point is the same: this is not a performance degradation or system issue. It is the normal time required for AI to analyze information and produce quality results.

By understanding that AI needs processing time, especially for complex or data-rich scenarios, you can better interpret system behavior and trust that the AI is doing exactly what it’s designed to do: working intelligently, not instantly.

During this session, we will cover the following topics: 

• AI Usage Monitoring – Agents, Workers, and Ask Ada: Learn how to track and analyze how AI capabilities are being used across the organization, gaining insights into adoption, interaction patterns, and business impact. 

• AI Accuracy & User Feedback: Discover how feedback signals and accuracy metrics help assess AI Worker readiness, identifying which AI Workers are prepared for greater autonomy and which require further refinement. 

• AI Performance Management – SLAs, Retries, and Timings: Understand how to monitor AI performance through service-level agreements, execution timings, and retry mechanisms to ensure consistent, reliable, and resilient AI-driven process execution. 

Don’t miss this opportunity to learn how Bizagi’s AI monitoring capabilities help organizations responsibly scale AI, improve trust and transparency, and maximize performance across AI-powered processes. Join us to see how these capabilities support the next stage of AI-driven automation—moving from experimentation to operational excellence. 

Register now! 

Expect expert insights, hands-on sessions, real success stories, and a look at the innovations shaping the future of intelligent automation.

Plus, connect with peers and celebrate in true Oktoberfest style!

This year, in Munich we will be delivering a 2 day meeting. The agenda is to be announced soon but here's what you can expect across both days:

Tuesday
22nd September

The day before Bizagi Days in Munich, Sonntag IT Solutions will be running an exclusive tech day.

This Sonntag IT Solutions Tech day is specifically aimed at users who interact with Bizagi in a deep technical way.

Topics covered will include:

• Insightful deep‑dive into a real-world Bizagi use case, highlighting practical implementation know‑how.

• Advanced technical session with expert‑level concepts, architectural guidance, and proven patterns.

• Best‑practice guidance for organizational setup and project methodology, covering process discovery, business analysis, and project governance.

Wednesday
23rd September

Bizagi Days are the annual, in-person roadshow hosted by Bizagi that focus on AI-driven digital process automation.

Customers and Partners will all be in once place to hear from us on practical strategies, success stories, and insights on using AI to accelerate business outcomes and drive ROI.

It’s not to be missed!

Expect:

• Bizagi Product and Roadmap updates.

• Discover how AI is powering the next era of intelligent process automation — faster, smarter, and at scale.

• See how Bizagi is turning AI innovation into real business impact, today.

• Hands on sessions using real world examples with Bizagi experts.

• Get exclusive insight into Bizagi’s AI roadmap and what’s coming next.

• Learn from customers already using AI in production to drive measurable outcomes and competitive advantage.

• Leave with clear inspiration and practical ideas to accelerate your own AI-driven transformation.

• Peer networking - Oktoberfest style!

What Is Bizagi Files Knowledge?

Bizagi Files Knowledge enables teams to build Knowledge Base Catalogs from their own documents—manuals, policies, reference materials, and more—making that content available to Bizagi’s AI components through Retrieval-Augmented Generation (RAG).

These catalogs can be leveraged by Ask Ada to provide richer, more accurate responses based on the organization’s documented knowledge and practices.

What Makes This Integration Essential

Ask Ada has already proven its value as a natural language interface for querying business data, generating visualizations, and extracting insights from operational information. However, many critical business decisions require more than just transactional data—they demand context from corporate policies, regulatory documentation, procedural guidelines, and institutional knowledge that lives in documents rather than databases.

By prioritizing uploaded files over the regular trained model, Bizagi’s AI capabilities become significantly more knowledgeable and aligned with specific business needs. This fundamental shift ensures that when users interact with Ask Ada, they're not just getting generic AI responses—they're receiving answers grounded in your organization's actual policies, standards, and accumulated wisdom.

Key Benefits of Integration

Provide Answers Grounded in Your Organization’s Own Content

Ask Ada becomes exponentially more powerful when fueled by Files Knowledge. When corporate knowledge is centralized in Files Knowledge and accessible through Ask Ada, every employee receives the same accurate information based on your official documentation.

Employees with Self-Service Intelligence

Every minute an employee spends searching for the right document is a minute lost in productivity. Connecting Ask Ada and Files Knowledge significantly reduces manual effort, making it easier to process large volumes of information with speed and accuracy. Rather than spending hours searching through document repositories, policy manuals, and procedural guides, employees can simply query Ask Ada conversational questions and receive immediate, accurate responses that cite your organization's own documentation. This dramatically accelerates decision-making cycles and improves productivity across the organization.

Practical Use Cases

Certain processes carry heavy documentation requirements that employees reference daily. KYC procedures, procurement approval matrices, supplier onboarding checklists, loan underwriting guidelines, contract compliance requirements, and incident escalation protocols all share a common trait: employees need quick, accurate answers to policy questions to keep work moving. These processes are ideal candidates for Files Knowledge integration with Ask Ada because they blend operational data with policy-driven decision-making.

Banking

Know Your Customer (KYC) and Anti-Money Laundering (AML)

Applicable Policies: Customer Due Diligence Policy, AML Transaction Monitoring Guidelines, Politically Exposed Persons (PEP) Screening Procedures, Suspicious Activity Reporting Requirements, Enhanced Due Diligence Standards

KYC analysts face constant questions about documentation requirements and risk classification thresholds. Ask Ada answers instantly:

• "What documents do I need for enhanced due diligence on a corporate client?"

• "What's the threshold for flagging unusual transaction patterns in retail accounts?"

• "How do I classify a customer from a high-risk jurisdiction?"

• "What supporting evidence is required before filing a suspicious activity report?"

Loan Processing and Credit Approval

Applicable Policies: Credit Underwriting Standards, Loan-to-Value Ratio Guidelines, Income Verification Requirements, Collateral Appraisal Procedures, Exception Approval Matrix

Loan officers process applications under tight timelines while navigating complex approval criteria. Ask Ada provides clarity:

• "What's the maximum debt-to-income ratio for a conventional mortgage?"

• "What documentation is required to verify self-employment income?"

• "What's the appraisal requirement for commercial property loans under $500K?"

• "What are the acceptable sources for down payment funds?"

Procurement

Supplier Onboarding

Applicable Policies: Supplier Code of Conduct, Vendor Qualification Standards, Insurance and Certification Requirements, Background Check Procedures, Supplier Risk Assessment Framework

Supplier management teams onboard new vendors while verifying compliance across multiple dimensions. Ask Ada streamlines the process:

• "What insurance coverage is required for construction vendors?"

• "What certifications must a food supplier provide before approval?"

• "How do I assess financial stability for a critical supplier?"

• "What background checks are mandatory for vendors with site access?"

Contract Management

Applicable Policies: Contract Review and Approval Policy, Standard Terms and Conditions, Contract Amendment Procedures, Service Level Agreement Standards, Contract Renewal Guidelines

Legal and procurement teams manage active contracts with varying terms and obligations. Ask Ada answers contract questions immediately:

• "What clauses are mandatory in our master services agreements?"

• "What notice period is required for contract termination?"

• "What are our standard payment terms for professional services contracts?"

• "How do I escalate a vendor SLA breach?"

Supply Chain

Supply Chain Incident Management

Applicable Policies: Incident Reporting Procedures, Supply Chain Disruption Response Plan, Customer Communication Guidelines, Root Cause Analysis Requirements, Corrective Action Documentation Standards

Supply chain teams handle disruptions that require immediate action and proper documentation. Ask Ada guides response:

• "What's the notification protocol when a shipment is delayed more than 48 hours?"

• "What documentation is required for filing a carrier damage claim?"

• "What's the procedure for notifying customers about backorder situations?"

• "What information must I capture during initial incident logging?"

Final thoughts

Bringing Ask Ada and Files Knowledge together turns your documents into a living asset that supports every process and every user. Instead of searching through folders or guessing which version of a document is right, teams get direct, reliable answers powered by your organization’s own content.

This integration closes the gap between policy and execution. It gives employees quick access to the guidance they need, right when they need it—whether they’re onboarding, validating compliance rules, reviewing a contract, or handling a customer case. The result is faster decisions, fewer errors, and a more consistent way of working.

As organizations scale, so does the complexity of their knowledge. Ask Ada and Files Knowledge simplify this reality. By centralizing expertise and making it accessible through natural language, your teams stay aligned, informed, and confident in the actions they take.