Interview:. Adeptia automates the processing of data exchanged between businesses, for example using the Electronic Data Interchange (EDI) method. This first mile data is recalled and speeds up adoption and processing. Co-founder and Chief Innovation Officer Deepak Singh contacts B&F to argue that the idea that AI agents can replace SaaS applications is misunderstood. This does not recognize that something like edited SaaS apps work deeply in your organization's infrastructure, and cannot be simply integrated or exchanged. We asked him a few questions to learn more.
Blocks and Files: What do you think about the idea that AI agents will replace SaaS apps? Where did you come from? Is it possible to do it?
Deepak Singh: This idea reflects a fundamental misconception of what Enterprise Cers actually does. This idea of ​​AI agents confusing and replacing SaaS applications comes from a recent interview where Microsoft CEO Satya Nadella introduced this possibility. However, I believe Satya's comments come from Microsoft's strategic positioning. They recognize the benefits of AI through Openai and want to create market urgency. But that's simplified.
For example, regarding CRUD (create, read, update, delete). In reality, SaaS is not just about “clads with UIs.” In fact, it is a complex multi-party orchestration codified into decades of domain expertise, compliance frameworks, and reliable systems. At Adeptia, we process millions of transactions every day from thousands of partners in hundreds of formats.
AI agents may help you query that data, but they cannot magically handle malformed EDI files from suppliers or ensure HIPAA compliance with healthcare data processing. This is a five to ten year evolution, not a two year revolution. AI transforms the way you interact with SaaS, not the way you exchange it for SaaS.
Blocks and Files: What does SaaS app do, as well as handling business operations (CRUD and logic)?
Deepak Singh: The latest SaaS platform is a sophisticated orchestration engine for real complexity. Beyond basic operations, they provide:
- Domain Intelligence: An industry-specific year of knowledge built into the platform.
- Trust and Compliance: Audit trail, security certification, and regulatory frameworks.
- Multi-party coordination: Management of relationships between multiple stakeholders.
- Exception Handling: Handles 20% of cases that break standard rules.
- Data Quality Guarantee: Ensures accuracy of information before affecting operations. At Adeptia, we don't just move data, but we understand that differences in date formats between partners can break the entire supply chain and handle it automatically.
Blocks and Files: Should SaaS apps ingest partner EDI files, verify compliance rules, and manage exceptions? Can you provide an example?
Deepak Singh: absolutely. This is the unattractive reality of enterprise operations that AI evangelists often ignore. Your example includes insurance. Large carriers receive PDF bills from over 500 brokers, some via modern APIs and others via EDI X12 837 files. Each must be tested against state regulations, compensation restrictions, and fraud patterns. Manufactured: Automotive parts suppliers send advance delivery notifications with numerous EDI variations. One character incorrect in part number can shut down the production line.
Take Healthcare: Patient data arrives from HL7 labs, providers and pharmacies, in their own format, and in fax documents. HIPAA compliance is not an option. It's federal law. These are not edge cases, but they are the daily tasks of thousands of companies.
Blocks and Files: Can an agent do these things?
Deepak Singh: AI agents are excellent at querying and pattern recognition in natural languages, but suffer from deterministic requirements for business operations. Here's why:
- Accountability gap: Who is responsible when an AI agent mishandles a $1 million order?
- Compliance Black Box: Regulators need an explanatory, auditable decision, not an AI probability score.
- Brittleness in format: AI may read PDFs beautifully, but it can fail completely in malformed EDI segments.
- Exception Handling: Business exceptions often require human judgment within regulatory constraints. Can AI agents learn how to process EDI data? perhaps. Do you trust it in your supply chain? That's the real question.
Blocks and Files: Could you please tell me about the ideas for the 3-tier SaaS app model?
Deepak Singh: The future of SaaS is a three-tier architecture that combines the finest AI innovation with enterprise reliability.
- Layer 1 – Intelligent Interface: AI agents and natural language interface that allows software to be accessed by everyone. Ask questions, gain insights, trigger workflows, and through conversations.
- Layer 2 – Orchestration and Governance: A SaaS platform that ensures AI decisions meet business rules, compliance requirements, and operational constraints. This is where domain expertise lives.
- Layer 3 – Run and Integrate: A trusted backbone that actually moves data, processes transactions, and connects systems. This takes care of thousands of formats and protocols messy reality.
Block & File: Where does the agent play with this and what do they do?
Deepak Singh: AI agents are powerful in Layer 1 and support Layer 2, but do not replace the foundation. They are:
- Simplify interaction: Instead of navigating through complex UIs, users can say, “Show us delayed shipments from Supplier X.”
- Surface Insights: Identify patterns that humans may miss in thousands of transactions.
- Suggest Action: Optimization is recommended based on historical data.
- Automate periodic decisions: Handles 80% of cases that follow standard patterns. But critically, they operate within guardrails set by the platform. They are co-pilots, not autopilots.
Blocks and Files: What does Adeptia bring to the table?
Deepak Singh: Adeptia represents Satya's future disappearance. We are already AI-enabled and enterprise-reliable. Our Platform:
- Handle reality: Whether it's a modern API or a coffee stain fax, it processes data formats from any source with 99% accuracy.
- Embed AI intelligently: Our AI learns from patterns, proposes mappings, catches anomalies, but always within business constraints.
- Enabling Humans: Business users can carry partners without coding while maintaining governance.
- Scales Trust: We spent 20 years encoded the complexity of real data exchange, maintaining compliance and reliability, with 10-10,000 partners. AI strengthens the platform. It doesn't replace it. That's why Fortune 500 companies trust us in mission-critical operations. The future is not an agent to replace SaaS, but it is an intelligent SaaS platform that leverages AI while respecting the reality of enterprise operations. We are not waiting for that future. I'm streaming today.
