Asato blog

The Asato blog holds 23 posts written by Asato's team, from May 9, 2024 to September 17, 2026, listed here newest first. Each entry gives the date, the title, the topic, the author where the post names one, the summary as published and the address of the post. The most recent is "From AI spend tracking to better decisions", published on September 17, 2026.

Headline on the page: How IT asset data becomes a decision.

When to use this page

To find an Asato blog post by its date, topic, title or author.
To read how Asato's team describes IT asset data, AI spend, renewals and agents that act on approved findings.
To get the address of a post and of its markdown version.

Not a fit

Product detail. See the platform page.
Announcements and press coverage. See the newsroom.
Current terms. Posts are reproduced as published, so older posts use the terms of their day, such as "business observability".

Topics

Each post has exactly one topic. The page filters the posts by these five, in this order:

AI spend: 2 posts
Asset data: 12 posts
Agents: 3 posts
Renewals and contracts: 1 post
Company: 5 posts

2026

September 17, 2026: From AI spend tracking to better decisions

Topic: AI spend
Author: Vinay Saxena
Reading time: 5 minutes
Summary: AI spend doesn't arrive as a single line item. It's spread across model and API usage, AI-enabled SaaS subscriptions, developer tools, and cloud consumption, and it moves with workloads, model choices, and user behavior in ways a seat-based license count was never built to capture. Most IT and finance leaders can tell you how much they spent last month. Far fewer can say what that spend was supporting, who owned it, or whether it was redundant. That gap isn't a reporting problem; it's a context problem. Until consumption is connected to the applications, owners, contracts, and business activity behind it, cost dashboards will keep answering a question CIOs have already stopped asking.
Address: https://www.asato.ai/blog-from-ai-spend-tracking-to-better-decisions
Markdown version: https://www.asato.ai/blog-from-ai-spend-tracking-to-better-decisions

September 11, 2026: Asato included as notable vendor in Forrester’s SaaS and Software Asset Management Solutions Landscape, Q3 2026

Topic: Company
Reading time: 3 minutes
Summary: Asato has been included as a Notable Vendor in The SaaS and Software Asset Management Solutions Landscape, Q3 2026. Published by Forrester Principal Analyst Biswajeet Mahapatra, the Landscape gives IT leaders and asset managers an overview of an established market and the notable vendors serving it. SaaS sprawl, cloud-linked licensing, and AI services priced in tokens, credits, and agent activity have scattered cost, entitlement, access, and risk decisions across IT, finance, procurement, security, and the business. Asato closes the gap with an asset knowledge graph and agentic AI that executes approved actions under human-in-the-loop governance.
Address: https://www.asato.ai/blog-asato-included-as-notable-vendor-in-forresters-saas-and-software-asset-management-solutions-landscape-q3-2026
Markdown version: https://www.asato.ai/blog-asato-included-as-notable-vendor-in-forresters-saas-and-software-asset-management-solutions-landscape-q3-2026

July 7, 2026: Your ITAM data is not the problem. It is just not actionable. (Part one)

Topic: Asset data
Authors: Nanda Vijaydev and Kumar Sreekanti
Reading time: 7 minutes
Summary: Many enterprises fail to optimize their IT asset management (ITAM) not due to a lack of data, but because their existing tools such as CMDBs, SAM systems, SSOs, and vendor portals operate in silos with conflicting definitions of usage. This structural disconnect forces skilled analysts to waste valuable time manually reconciling spreadsheets instead of driving strategic vendor negotiations. To solve this translation crisis, Asato introduces an Asset Knowledge Graph that acts as a canonical data layer, normalizing data across all systems into a single language. By feeding this clean, reconciled dataset into a Generative AI engine, Asato automates continuous tracking, surfaces actionable insights 90 days before renewals, and eliminates the 30% waste typically found in software budgets. The result: ITAM teams are able to focus better on business growth rather than manual reporting.
Address: https://www.asato.ai/blog-your-itam-data-is-not-the-problem-it-is-just-not-actionable
Markdown version: https://www.asato.ai/blog-your-itam-data-is-not-the-problem-it-is-just-not-actionable

July 7, 2026: From clean data to real decisions: How intelligent agents turn your ITAM data into action (Part two)

Topic: Agents
Authors: Nanda Vijaydev and Kumar Sreekanti
Reading time: 7 minutes
Summary: Building from the ITAM translation crisis we explored in part 1 of this series, this part 2 goes deeper to solve the execution crisis. Traditional dashboards still require days of manual human analysis, leaving teams trapped in a reactive loop during sudden vendor audits or renewals. Asato eliminates this bottleneck by deploying 24/7 autonomous agents that continuously analyze entitlements, identity, and procurement data behind the scenes. Leveraging a continuous four-part framework (Notify, Recommend, Automate, and Govern), Asato strips away the tedious legwork of license harvesting and ticketing while keeping humans firmly in control. The result: an agent-driven ITAM model that turns spreadsheet assembly into faster, proactive software spend decisions.
Address: https://www.asato.ai/blog-from-clean-data-to-real-decisions-how-intelligent-agents-turn-your-itam-data-into-action
Markdown version: https://www.asato.ai/blog-from-clean-data-to-real-decisions-how-intelligent-agents-turn-your-itam-data-into-action

June 16, 2026: Agentic ITAM: The difference between AI that advises and AI that acts

Topic: Agents
Author: Vinay Saxena
Reading time: 5 minutes
Summary: Key Takeaways: From Assistant to Agent: The shift from 'Copilots' (which advise) to 'Agents' (which execute) is the definitive ITAM trend of 2026. The End of 'Stale Data': Agents solve the context rot problem by performing real-time, cross-platform reconciliations without human intervention. Governance by Exception: In an agentic world, IT teams move from being 'data janitors' to 'policy architects,' only stepping in when a decision falls outside established guardrails.
Address: https://www.asato.ai/blog-agentic-itam-the-difference-between-ai-that-advises-and-ai-that-acts
Markdown version: https://www.asato.ai/blog-agentic-itam-the-difference-between-ai-that-advises-and-ai-that-acts

June 10, 2026: Observability is for IT. Intelligence is for business.

Topic: Asset data
Author: Vinay Saxena
Reading time: 7 minutes
Summary: Key Takeaways: The Foundation of Observability: Traditional IT monitoring serves as an essential plumbing system for engineering teams, effectively tracking infrastructure health and alerting operators to technical anomalies in real time. The Pitfall of "Business Observability": Stretching this operational framework into the boardroom fails because legacy approaches merely stack more technical logs and traces without adding the semantic context needed for business strategy. The Shift to Enterprise Intelligence: By mapping the IT estate onto an Asset Knowledge Graph, organizations transcend simple dashboard telemetry, contextualizing data with the reasoning engine required for autonomous business action.
Address: https://www.asato.ai/blog-observability-is-for-it-intelligence-is-for-business
Markdown version: https://www.asato.ai/blog-observability-is-for-it-intelligence-is-for-business

June 2, 2026: The SaaS volatility crisis: Navigating AI price hikes and credit multipliers

Topic: AI spend
Author: Vinay Saxena
Reading time: 7 minutes
Summary: Key Takeaways: The ‘AI Tax’ is driving extreme inflation: SaaS pricing is rising at nearly five times the rate of general market inflation, largely driven by mandatory AI bundling and hidden migration surcharges. Credit multipliers are eating away at enterprise AI budgets faster than anything: Vendors are quietly switching to consumption-based token and credit models, retaining the right to change the "burn rate" of those credits unilaterally. Asset Knowledge Graphs can help prevent surprise invoices: Legacy dashboards fail to capture decentralized AI consumption. True cost protection requires deep intelligence that maps software utilization directly to business architecture.
Address: https://www.asato.ai/blog-the-saas-volatility-crisis-navigating-ai-price-hikes-and-credit-multipliers
Markdown version: https://www.asato.ai/blog-the-saas-volatility-crisis-navigating-ai-price-hikes-and-credit-multipliers

May 26, 2026: Why your CMDB can’t keep up with enterprise intelligence

Topic: Asset data
Author: Vinay Saxena
Reading time: 15 minutes
Summary: For years, the IT department has been the ‘Department of Lists’. We have lists of servers, lists of SaaS subscriptions, and lists of user IDs. But despite spending trillions globally on IT infrastructure, most leadership teams still can't answer a simple question: "If this specific database fails, which of our customers lose service right now?" The traditional Configuration Management Database (CMDB) was built for an era of physical hardware and predictable updates. In today’s world of hybrid cloud, microservices, and shadow IT, the CMDB has become a static map for a territory that changes every hour. It records the "organs" of the company but misses the "nervous system", the invisible dependencies that actually keep the business alive.
Address: https://www.asato.ai/blog-why-your-cmdb-cant-keep-up-with-enterprise-intelligence
Markdown version: https://www.asato.ai/blog-why-your-cmdb-cant-keep-up-with-enterprise-intelligence

May 19, 2026: The 90-day renewal that cost a health system $2.4M

Topic: Renewals and contracts
Author: Vinay Saxena
Reading time: 15 minutes
Summary: It started with a routine notification in the CIO’s inbox on a Tuesday morning: a 90-day countdown to the renewal of a Tier-1 data management suite. For the CIO of a major multi-state health system, it felt like just another item on an already crowded to-do list. Procurement took the lead, the spreadsheets were opened, and the usual dance began. They looked at last year’s seats, added a bit for growth, and managed to secure a 10% reduction in per-seat pricing from the vendor.
Address: https://www.asato.ai/blog-the-90-day-renewal-that-cost-a-health-system-2-4m
Markdown version: https://www.asato.ai/blog-the-90-day-renewal-that-cost-a-health-system-2-4m

May 13, 2026: What CIOs actually need from AI: Not answers. It’s business context.

Topic: Asset data
Author: Vinay Saxena
Reading time: 15 minutes
Summary: The feel-good phase of Generative AI is ending. When things were simple, Generative AI was more of an ‘answer-engine’. Can the AI write this code? Can it summarize this report? Can it answer this customer query? Cut to today, and we see the simplicity being increasingly replaced with enterprise complexity. For the modern CIO, a sophisticated ‘answer engine’ is useless if it doesn't understand the environment it’s operating in. In 2024 and 2025, the race was about getting AI to summarize documents or write code. In 2026, the goal has shifted.
Address: https://www.asato.ai/blog-what-cios-actually-need-from-ai-not-answers-its-business-context
Markdown version: https://www.asato.ai/blog-what-cios-actually-need-from-ai-not-answers-its-business-context

May 6, 2026: From data to decisions: The 4-layer model most CIOs never get past

Topic: Asset data
Author: Vinay Saxena
Reading time: 15 minutes
Summary: The leap from "having data" to "making decisions" is where enterprise value goes to die. While global IT spending is projected to grow 0.8% in 2026, officially crossing the $6 trillion mark for the first time, the maturity of that spending often hits a structural ceiling at the normalization phase, leaving CIOs with expensive dashboards that provide plenty of "what" but zero "so what."
Address: https://www.asato.ai/blog-from-data-to-decisions-the-4-layer-model-most-cios-never-get-past
Markdown version: https://www.asato.ai/blog-from-data-to-decisions-the-4-layer-model-most-cios-never-get-past

April 30, 2026: The visibility trap: Why seeing your IT stack still leaves you out of control

Topic: Asset data
Author: Vinay Saxena
Reading time: 5 minutes
Summary: In the modern IT estate, we’ve been told that visibility is the holy grail. If you can see it, you can manage it. But for most IT leaders, reality feels more like a hall of mirrors. You have more "visibility" than ever, yet you feel less in control.
Address: https://www.asato.ai/blog-the-visibility-trap-why-seeing-your-it-stack-still-leaves-you-out-of-control
Markdown version: https://www.asato.ai/blog-the-visibility-trap-why-seeing-your-it-stack-still-leaves-you-out-of-control

April 23, 2026: Dashboards tell you what happened. You need why, and what to do next.

Topic: Agents
Author: Vinay Saxena
Reading time: 6 minutes
Summary: Go from ‘what happened’ to ‘why it happened’ and ‘what to do next’
Address: https://www.asato.ai/blog-move-over-dashboards-enterprise-intelligence-is-what-comes-next
Markdown version: https://www.asato.ai/blog-move-over-dashboards-enterprise-intelligence-is-what-comes-next

April 1, 2026: What "decision grade" data actually looks like

Topic: Asset data
Authors: Nanda Vijaydev and Vinay Saxena
Reading time: 6 minutes
Summary: Asato turns fragmented IT data into decision-grade intelligence through normalization, classification, linking, scoping, and scoring. The result is accurate, consistent, and continuously improving data that leaders can trust for licenses, renewals, and shadow IT decisions.
Address: https://www.asato.ai/blog-what-decision-grade-data-actually-looks-like
Markdown version: https://www.asato.ai/blog-what-decision-grade-data-actually-looks-like

March 24, 2026: The real reason your dashboards contradict each other

Topic: Asset data
Authors: Nanda Vijaydev and Vinay Saxena
Reading time: 4 minutes
Opening paragraph (the index shows no summary for this post): In part five of our series "Closing the IT Data Trust Gap: From Raw Records to Decision-Grade Intelligence" we talk about how the filters in your UI are why your user count changes depending on which report you open.
Address: https://www.asato.ai/blog-the-real-reason-your-dashboards-contradict-each-other
Markdown version: https://www.asato.ai/blog-the-real-reason-your-dashboards-contradict-each-other

March 12, 2026: The knowledge graph that knows 'SFDC' and 'Salesforse' is actually just Salesforce

Topic: Asset data
Authors: Vinay Saxena and Nanda Vijaydev
Reading time: 5 minutes
Summary: Asato’s Asset Knowledge Graph is the intelligence layer that enables accurate IT asset optimization by solving foundational data issues such as inconsistent naming and noisy application inventories. It begins with multi-signal entity resolution, using fuzzy logic, semantic vectors, purpose-built embeddings, and aggregated scoring to reliably match products despite typos, abbreviations, or ambiguous labels. Once an entity is correctly identified, the Asset Knowledge Graph enriches it with deep metadata, including application type, business function, vendor lineage, compliance attributes, and risk posture, enabling meaningful filtering and classification.
Address: https://www.asato.ai/blog-the-knowledge-graph-that-knows-sfdc-and-salesforse-is-salesforce
Markdown version: https://www.asato.ai/blog-the-knowledge-graph-that-knows-sfdc-and-salesforse-is-salesforce

March 5, 2026: You don’t have 6,000 apps. You have 60.

Topic: Asset data
Authors: Nanda Vijaydev and Vinay Saxena
Reading time: 4 minutes
Summary: CASB and network discovery tools often report hundreds or thousands of “applications” in an enterprise environment. While technically accurate, these numbers are misleading because they include every service detected in network activity, not just the tools employees actually use for work. The list typically contains infrastructure services, CDNs like Cloudflare and Akamai, authentication endpoints such as accounts.google.com, browser extensions, APIs, and backend platform components. When these are treated the same as real applications, Shadow IT detection and license optimization become unreliable.
Address: https://www.asato.ai/blog-you-dont-have-6-000-apps-you-have-60
Markdown version: https://www.asato.ai/blog-you-dont-have-6-000-apps-you-have-60

February 25, 2026: Why your user count is 3X your headcount. And, why that’s not a bug

Topic: Asset data
Authors: Nanda Vijaydev and Vinay Saxena
Reading time: 3 minutes
Summary: Organizations often see identity counts in systems like Entra ID that are two to three times higher than their actual employee headcount. This is not a data error; it’s because directories track every identity object, not just human employees. These include service accounts, guest users, shared accounts, test accounts, agents, disabled identities, admin accounts, federated users, and orphaned accounts discovered across systems. When platforms label this raw number as “Total Users,” it creates confusion because IT leaders expect “users” to represent people.
Address: https://www.asato.ai/blog-why-your-user-count-is-3x-your-headcount-and-why-thats-not-a-bug
Markdown version: https://www.asato.ai/blog-why-your-user-count-is-3x-your-headcount-and-why-thats-not-a-bug

February 18, 2026: Your IT data isn’t dirty, it’s multi-truth

Topic: Asset data
Author: Nanda Vijaydev
Reading time: 4 minutes
Summary: We break down why enterprise IT numbers rarely match reality and how contradictory identity, application, and spend data erodes trust. We dig into how inflated user counts, noisy app discovery, and fragmented purchasing emerge from systems that are each locally correct, and why true accuracy requires curated, decision-grade data enriched with context, normalization, linkage, and consistent scoping.
Address: https://www.asato.ai/blog-your-it-data-isnt-dirty-its-multi-truth
Markdown version: https://www.asato.ai/blog-your-it-data-isnt-dirty-its-multi-truth

2025

July 31, 2025: Building resilient platform security at Asato

Topic: Company
Author: Krishna Sagiraju
Reading time: 7 minutes
Summary: At Asato, our security is embedded directly into infrastructure design, development workflows, and system architecture. I dive into how treating security as code, leveraging Infrastructure as Code (IaC), Terraform, multi-tenant isolation, service meshes, container security, and data protection strategies come together to build systems secure by design.
Address: https://www.asato.ai/blog-building-resilient-platform-security-at-asato
Markdown version: https://www.asato.ai/blog-building-resilient-platform-security-at-asato

July 11, 2025: How we’re building business observability at Asato

Topic: Company
Author: Vinay Saxena
Reading time: 6 minutes
Summary: Asato’s CTO, Vinay Saxena, believes true business observability demands more than dashboards; it needs an AI-native, execution-first foundation. He emphasizes starting fresh: no legacy BI, no bolt-on AI. Instead, a system that links context to action, enabling enterprises to understand, decide, and execute, all in one intelligent loop.
Address: https://www.asato.ai/blog-how-were-building-business-observability-at-asato
Markdown version: https://www.asato.ai/blog-how-were-building-business-observability-at-asato

June 9, 2025: Business observability, a new frontier in enterprise asset visibility

Topic: Company
Authors: Anush Mohandass and Sundari Mitra
Reading time: 5 minutes
Summary: Asato brings real-time clarity to complex IT environments by unifying usage, cost, access, and context into one intelligent, metadata-driven platform. Instead of static dashboards, it enables business observability, helping teams ask better questions and act with confidence.
Address: https://www.asato.ai/blog-business-observability-a-new-frontier-in-enterprise-asset-visibility
Markdown version: https://www.asato.ai/blog-business-observability-a-new-frontier-in-enterprise-asset-visibility

2024

May 9, 2024: Asato assembles an A-team to serve CIOs

Topic: Company
Author: Anush Mohandass
Reading time: 5 minutes
Summary: TL;DR: Asato has assembled a top-tier team, including new board members Lip-Bu Tan and Kumar Sreekanti, and key leaders like Vinay Saxena, Rathna Raj Talacauvery, Nanda Vijaydev, and Rishi Sharma to build a Business Observability solution for CIOs.
Address: https://www.asato.ai/blog-asato-assembles-a-team-to-grow-business-observability-solution-for-cios
Markdown version: https://www.asato.ai/blog-asato-assembles-a-team-to-grow-business-observability-solution-for-cios

Questions

How many posts are on the Asato blog?

23, published between May 9, 2024 and September 17, 2026.

What is the most recent post?

"From AI spend tracking to better decisions", published on September 17, 2026.

Who writes the posts?

The bylines on the posts are: Vinay Saxena, Nanda Vijaydev, Kumar Sreekanti, Krishna Sagiraju, Anush Mohandass, Sundari Mitra. 1 post carries no byline.

Are the posts edited for the new site?

No. Each post is reproduced as published, with mechanical repairs only: missing spaces, repeated text and the spelling of a byline. Older posts use the terms of their day.

Last updated: 2026-10-06