Automation Meets Trust: Why UnifyApps + Fiddler AI Could Create a New Enterprise AI Category

In this Combine & Conquer series in AI, we’re mapping high-impact consolidation opportunities across the AI/ML landscape. This week, we are sharing seven M&A ideas surfaced by our AI-powered deal engine - combinations where stack adjacency, defensibility, enterprise demand and timing - all align to create some truly category creating champions. After Deal # 1 and Deal # 2, now it is time for -

Deal Idea #3 is UnifyApps + Fiddler AI

UnifyApps is building a powerful enterprise automation stack consisting of tool integrations, workflows, AI agents, and GenAI applications. Fiddler AI is one of the world’s leading platforms for AI observability, explainability, drift detection, and LLM/agent monitoring. Together, they can create a category that doesn’t quite exist yet - enterprise-grade, AI-assured automation - where every integration, agent, LLM, and workflow step is observable, explainable, trustworthy, and compliant - by design.

1. The Market Situation - Why Full-Lifecycle Assurance Inside Automation Will Define the Next Era

Enterprise AI has moved from pilots to production. AI agents now trigger business processes. LLMs now shape decisions inside workflows. RAG systems now retrieve sensitive enterprise knowledge. Automation platforms - once purely deterministic - now include unpredictable AI components. This has created a new requirement - if AI touches a business process, that process must be observable and explainable end-to-end. But the current ecosystem is fragmented

Automation Platforms (UnifyApps, Workato, UiPath, Appian, MuleSoft)

These platforms are excellent at the plumbing of the enterprise - integrations, RPA, cross-app workflows, and process automation. Some, like UnifyApps, are now layering AI agents and GenAI apps on top of this foundation. But across the category, they generally lack deep AI governance: no model explainability, no LLM output safety, limited drift/anomaly detection, and no bias/fairness reporting. They can execute workflows, but they can’t explain or audit the AI decisions inside them.

AI Observability Platforms (Fiddler, Arize, Aporia, WhyLabs)

These platforms specialize in monitoring and explaining AI systems - model performance, drift, hallucinations, bias, fairness, and LLM/agent behavior. They excel at giving enterprises transparency and trust in AI predictions and outputs. However, they don’t run workflows. They lack integration fabrics, multi-app orchestration, automation triggers, or connectors. They can audit an AI decision, but they cannot act on it or embed it inside business processes.

Hyperscalers (AWS, Azure, GCP)

Cloud providers now offer lightweight LLM monitoring and guardrails, but these capabilities are early-stage and uneven across services. Importantly, none of the hyperscalers provide a fully integrated stack combining automation, workflow orchestration, agent execution, and deep model/LLM/agent observability. They offer fragments - not a unified platform.

Across all of this, a white-space is obvious - no vendor today combines automation + AI agents + deep model/LLM/agent observability in one platform. That gap is exactly where the combination of UnifyApps + Fiddler AI fits - and why this deal has surfaced as a top pick.

2. Meet the Players

UnifyApps - The Enterprise Integration + Automation + AI Platform

(Funds Raised - USD 71mn, Key Investors - Elevation Capital, Westbridge)

UnifyApps is building a unified automation fabric for the enterprise. Its core capabilities include:

Integration Layer

• 700–1000+ connectors across SaaS, data sources, internal APIs
• Embedded integrations for developers and business users
• Enterprise-grade connectivity and API management

Automation & Workflow Layer

• Low-code/no-code workflow builder
• Cross-application process automation
• Event-driven triggers and RPA-like actions

AI/Agent Layer (Unify AI)

• Built-in AI functions: embeddings, document intelligence, OCR, fine-tuning, image operations
• RAG workflows, enterprise search
• Agent builder + session logs + user actions
• AI-native app creation

Fiddler AI - The Model/LLM/Agent Observability & Trust Leader

(Funds Raised - USD 66mn, Key Investors - Insight Partners, Lightspeed VC, Dallas VC)

Fiddler AI’s platform is purpose-built for trust, transparency, and compliance in AI systems.

Capabilities

• Real-time model monitoring
• LLM observability (hallucination detection, unsafe output detection, retrieval-path inspection)
• Agentic observability (decision trace analysis, anomaly detection)
• Drift detection & data integrity checks
• Fairness & bias analysis
• Explainability: feature-attribution, counterfactuals
• Compliance dashboards for enterprise AI

3. The Strategic Thesis: Creating the First “AI-Assured Automation” Platform

Most automation platforms today are deterministic - “If X happens in App A, perform Y in App B.”

But the future is AI-driven workflows like these below and as you will note, all of these can have some non-determinism in them -

• An LLM decides which workflow to run
• An agent selects which API call to trigger
• A RAG pipeline retrieves knowledge for a decision
• A classifier enriches a data field
• A model flags risk inside a process

And enterprises will be challenged to scale these unless they are observable, explainable, and governed.

This is where UnifyApps + Fiddler becomes strategically powerful

What Fiddler adds to UnifyApps - AI Assurance Layer for Automation

Fiddler upgrades UnifyApps from basic logs to enterprise-grade assurance:

• Agent action monitoring
• LLM output diagnostics
• Drift detection
• Fairness & bias scoring
• Unsafe-output detection
• Root-cause analysis
• Model/agent trust scoring

Every AI step inside a workflow becomes traceable and explainable.

What UnifyApps adds to Fiddler - Contextual Signals for Better Monitoring

Fiddler gains visibility it normally never has:

• Workflow context
• Integration logs
• RPA triggers
• Agent routing decisions
• Cross-app dependencies

This dramatically improves the accuracy of:

• drift detection
• root-cause analysis
• agent anomaly detection
• LLM behavior diagnostics

And together they create a Closed-loop AI automation platform

The combined platform will cover -

Data → Integrations → Workflow → Agent/LLM Action → Output → Monitoring & Trust → Root Cause → Fix → Back into Workflow

No current vendor offers this, making this potentially the world’s first true AI-Assured Automation Platform.

4. Synergies

Product Synergies

• Integrate deep explainability and monitoring inside an automation engine
• Make AI-powered workflows debuggable and compliant
• Deliver “trust as a built-in feature” for every agent, LLM, and automation step

Data Synergies

• Workflow + integration logs enhance Fiddler’s drift/anomaly analysis
• Fiddler’s diagnostics refine process routing inside UnifyApps
• Combined dataset = powerful full-lifecycle intelligence

GTM Synergies

• Extremely compelling for regulated enterprises (BFSI, healthcare, govt)
• Converts UnifyApps from an automation vendor → enterprise AI-platform contender
• Creates a differentiated solution vs. Zapier, Workato, UiPath

5. Why This Is a Winning Move Now

AI agents are entering workflow automation

• As enterprises deploy agents into core workflows, they demand explainability and risk controls.

Regulatory pressure is rising

• DPDP, EU AI Act, U.S. OMB guidelines require explainable automated decisions.

Enterprises want fewer vendors

• Automation + AI assurance in one stack is a compelling consolidation.

Hyperscalers are moving up-stack

• AWS, Microsoft, and Google are adding basic LLM monitoring - the window for differentiation closes quickly.

White-space is open

• No incumbent offers integration + automation + agent/LLM monitoring + trust in one platform.

Conclusion

UnifyApps is building the automation and integration fabric for enterprises and if you recall from our earlier post on disruption in the Indian Agentic AI space, they are definitely better placed than other agentic workflow builder platforms, given their focus on enterprise grade governance. However, they are not entirely out of danger from the ongoing disruptive moves from the frontline LLM providers like OpenAI or Anthropic or Google Gemini, all of whom have their own ambitions in enterprise AI. Fiddler is UnifyApps's trump card to widen the gap between them and the disruption boundary. And of course, being able to show well integrated observability and governance in their platform becomes an immediate differentiator when talking to enterprises. It is time for UnifyApps to make this move.

Analysis conducted by The India Portfolio, an AI-powered deal discovery and advisory platform focused on VC/PE-backed companies in India. If you want, I can send this analysis to your email - just say the word