Dotwork vs Larridin
AI spend and adoption intelligence that tracks token spend, usage and return across the AI tools an enterprise runs.
Larridin measures AI token spend, usage and adoption across the tools an enterprise runs. Dotwork brings that spend into the Enterprise Operating Model, beside every other technology cost and the strategy, budget and controls it belongs to.
At a glance
AI spend & adoption
Larridin
Operating model
Dotwork
Overlaps with
Dotwork runs these and 15 more on one model.
Usually runs alongside Dotwork
Dotwork connects to it and puts its data in the context of the whole enterprise.
The short version
What each is built for.
Larridin
Larridin is an AI spend and adoption intelligence platform. Its Token Spend & Insights product, launched in 2026, gathers AI cost data from platform subscriptions, API calls, desktop agents, cloud platforms and gateways, attributes it to teams, agents and use cases, and relates it to productivity and return.
- Seeing AI token spend and usage across tools, vendors and teams
- Attributing AI cost to teams, agents and use cases
- Measuring AI adoption across the workforce
- Estimating AI return from time saved on tasks
Dotwork
Dotwork is an AI-native enterprise operating platform built on the Enterprise Operating Model: one live, graph-based model that connects strategy, capital, work, technology and AI across the enterprise. In AI, Dotwork places token and model spend in the enterprise cost model, beside the investments, capabilities and controls it belongs to.
- Carrying AI spend into the same cost model as the rest of technology
- Tracing AI investments to the strategy, budget and portfolio behind them
- Connecting AI assets to owners, controls, findings and expected value
- Giving leaders and AI one model of how the enterprise runs
The core difference
How Dotwork and Larridin approach the problem.
Larridin starts from AI usage and spend and works outward to adoption and return. Dotwork starts from the enterprise operating model and brings AI spend into it, next to every other cost and the decisions that funded it.
Context
Larridin builds its view from AI tools, APIs and usage signals. Dotwork connects AI spend to the investments, capabilities, applications and teams already on the operating model.
Decisions
Larridin helps decide where AI tools and spend are paying off. Dotwork helps decide where AI belongs in the portfolio and budget, alongside every other investment.
Time
Larridin follows AI spend and usage as it accrues across tools. Dotwork keeps AI spend in the planning cycle, compared with what was budgeted and expected.
Change
Larridin tracks how AI adoption and cost shift across teams and tools. Dotwork shows how a change in AI spend affects capabilities, budgets and strategy.
Architecture and data model
Side by side.
Larridin goes deep on AI spend and adoption across the tools people use. Dotwork is broader and places AI spend in the same model as every other technology cost and the strategy it serves.
| Dimension | Larridin | Dotwork |
|---|---|---|
| Primary focus | AI token spend, usage and adoption | The enterprise operating model, with AI as one part of it |
| Where the data comes from | AI subscriptions, API calls, desktop agents, cloud platforms and gateways | Systems of record across strategy, finance, work, technology and AI |
| How spend is attributed | To teams, agents, workflows and use cases | To investments, capabilities, applications, teams and AI assets on one model |
| How value is shown | Productivity and return estimated from time on task | Expected benefits and decisions kept beside cost |
| Scope beyond AI | Focused on AI tools and spend | Cloud, labor, vendors, facilities, architecture and controls |
The role of AI
Where the AI gets its context.
Larridin is built to measure AI spend and adoption. Dotwork is built to run the enterprise, with AI spend as one connected part of the model.
Larridin
Larridin measures AI itself: what AI tools cost, how much they are used and what they return, across teams and workflows.
Dotwork
Dot, Dotwork’s AI, answers questions across the whole operating model, so an AI spend question can follow through to the capability, budget and strategy behind it. The same model is open to other assistants through MCP.
A fair comparison
Where Larridin is strong — and where Dotwork is different.
Where Larridin is strong
- Broad collection of AI cost data across subscriptions, APIs, desktop agents, cloud platforms and gateways
- Attribution of AI spend to teams, agents, workflows and use cases
- Measurement of AI adoption across the workforce
- Return estimates based on time saved on tasks before and after AI
- A focused product for a fast-moving category
Where Dotwork is different
- Places AI spend in the same cost model as cloud, labor, vendors and facilities
- Connects AI investments to the strategy, budget and portfolio that funded them
- Ties AI assets to owners, controls, findings and expected value on one model
- Keeps decisions and expected benefits beside AI cost
- Opens the whole operating model to AI through Dot and MCP
Choosing
Which fits your situation.
Choose Larridin when
- You need to see AI token spend and usage across many AI tools and vendors quickly
- You want spend attributed to teams, agents and use cases from subscriptions, APIs and gateways
- You want to measure AI adoption and estimate return from time saved on tasks
Organizations that want fast, broad visibility into AI tool spend and adoption across the workforce, and a view of the return it produces.
Choose Dotwork when
- You want AI spend in the same cost model as cloud, labor, vendors and the capabilities they serve
- You need AI investments tied to the strategy, budget and portfolio that funded them
- You want AI assets connected to owners, controls and expected value on one model
- Finance, technology and the AI office need to work from one set of numbers
Enterprises that want AI spend governed and planned like the rest of technology investment, connected to strategy, budget, architecture and controls.
The bottom line
Choose Dotwork when you want to connect the enterprise across systems and silos — with a lower total cost of ownership.
One operating model across strategy, capital, work, technology and AI, instead of another tool to integrate, reconcile and maintain alongside Larridin.
FAQ
Questions buyers ask.
Can Dotwork and Larridin be used together?+
Yes. Larridin can measure AI spend and adoption across tools, and Dotwork can place that spend in the enterprise operating model, connected to investments, capabilities, budgets and controls.
Does Dotwork measure AI adoption across the workforce?+
Dotwork connects AI assets and spend to the teams, capabilities and investments they serve. Measuring workforce-wide AI adoption and time saved per task is a core focus for Larridin.
Which is better for an AI budget?+
Larridin shows where AI tokens and tools are being used and what they cost. Dotwork keeps the AI budget in the same planning model as the rest of technology spend, compared with what was funded and expected.
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