BOOK A DEMO
Built for complex enterprise operations

TBM and FinOps work is fragmented. The AI engine fixes that.

Traditional AI assistants struggle in enterprise technology finance because they lack operational context and workflow structure. The AI engine was designed specifically for this environment.

Specialist AI agents

Cloud Optimization, Vendor Intelligence, Allocation, Financial Operations, Governance, Reporting — each with scoped responsibilities, structured workflows, and governed permissions.

Relationship-aware data models

Maps operational relationships across vendors, contracts, applications, products, cost centers, services, cloud resources, and financial structures.

Client-specific operational knowledge

Financial taxonomies, allocation methodologies, governance policies, operational playbooks, product definitions, and client-specific operating models. Not generic assumptions.

Structured workflow orchestration

An orchestration layer coordinates specialists to execute broader operational workflows safely and consistently — with human approvals at every consequential step.

Yarken AI Studio

AI specialists for the work of technology finance.

Bring specialist AI into financial analysis, cloud spend, contracts, planning, and cost allocation.

Start with a library of specialists shaped by real enterprise needs. Configure their skills, tools, and workflows around your data, operating model, and governance requirements.

Book a demo Explore specialists ↓

Specialist library

What your specialists help you achieve.

Seven Yarken specialists cover the core work of technology finance. Each owns a domain, works from your data and hands back answers your teams can act on.

IT Cost Analyst

Close every month with each variance explained.

Example questionWhy is this quarter over budget?

Cloud FinOps Analyst

Keep cloud and AI spend owned and on budget.

Example questionWhich teams drove the rise in AI consumption?

Vendor & Contract Analyst

Walk into every renewal prepared.

Example questionWhich renewals carry the most exposure this year?

License & SaaS Optimization Analyst

Reclaim software you pay for but don't use.

Example questionHow many licences have gone unused for 90 days?

Application & Service TCO Analyst

Know what every application really costs to run.

Example questionWhich services should we invest in, and which should we retire?

Chargeback & Showback Analyst

Give every business unit a bill it trusts.

Example questionWhy did this consumer's allocated cost increase?

Cost Model Steward

Trust the numbers behind every decision.

Example questionWhich costs are unmapped or misallocated?

Your own specialists

Build specialists for the work only you do.

ExampleAI & Cloud Spend Governance

Explore configuration →
What each specialist covers
IT Cost Analyst
Covers

Actuals, budget, forecast and variance by tower, cost pool, org hierarchy, vendor and solution.

Playbooks

Budget overrun investigation · Month-end variance explanation · Planning cycle variance review · KPI breach investigation

Cloud FinOps Analyst
Covers

Cloud and AI platform consumption, anomalies, attribution and commitments across AWS, Azure, GCP and OCI.

Playbooks

Cloud anomaly triage · Tagging gap remediation · AI and LLM spend governance review

Vendor & Contract Analyst
Covers

Contracts, invoices, purchase orders, renewals and vendor concentration.

Playbooks

Renewal decision tree · Invoice dispute prep · Consolidation business case

License & SaaS Optimization Analyst
Covers

Entitlement against usage: dormant seats, over-provisioned editions, shelfware, reclaim and true-up.

Playbooks

License reclaim before renewal

Application & Service TCO Analyst
Covers

Layered total cost of ownership for applications, products, services and solutions.

Playbooks

App retire, consolidate or keep

Chargeback & Showback Analyst
Covers

Consumer allocation, Bill of IT, bill movement and disputes.

Playbooks

Showback dispute handling · Bill change FAQ flow

Cost Model Steward
Covers

Mapping rules, coverage, data quality, restatement and audit of the governed cost model.

Playbooks

Mapping exception handling

Specialist capabilities depend on the data sources and workflows configured in your environment.

Configuration

Configured for the way your business works.

Teams use Ask Yarken and other AI-enabled experiences. Administrators use AI Studio to configure the specialists, data, and workflows behind them.

  1. 01SpecialistsTailor responsibilities and domain expertise. Configure new specialists for organization-specific workflows.
  2. 02Skills & PlaybooksDefine analytical methods, repeatable procedures, and expected outputs.
  3. 03Tools & Data SourcesConnect approved financial and operational data. Give specialists access to the tools their work requires.
  4. 04AutomationsConfigure recurring analysis, reporting, and workflows with defined triggers and controls.
  5. 05SimulationsRun simulated conversations to check quality before anyone relies on it.
  6. 06InsightsWatches your spend and usage data for you and flags unusual changes, so nobody has to scan reports and dashboards by hand.
  7. 07Knowledge & GovernanceApply your organization's policies, financial definitions, access permissions, and approval requirements.

01Specialists

01 / 07Specialist profileExample configuration

Tailor responsibilities and domain expertise. Configure new specialists for organization-specific workflows.

Cloud FinOps AnalystTailored for your cloud and AI estate

Responsibilities

Cloud consumptionAI spendAnomaliesCost ownership

Domain expertise

FinOps practicesCommitmentsUnit economics
Configure a new specialist

02Skills & Playbooks

02 / 07Skills & playbooksExample configuration

Define analytical methods, repeatable procedures, and expected outputs.

Skills

Spend root-cause analysisAnalytical method
Executive summaryExpected output

Playbook

Monthly variance review

  1. Gather actuals, budget, and forecast
  2. Analyse variance by tower and owner
  3. Identify the cost drivers
  4. Prepare findings for review

03Tools & Data Sources

03 / 07Tools & data sourcesExample configuration

Connect approved financial and operational data. Give specialists access to the tools their work requires.

Data sources

General ledgerConfigured
Cloud billingConfigured
Contracts and invoicesConfigured
Asset inventoryNot configured

Data tools

Spend reportingConfigured
Cloud spend reportingConfigured
Dimension lookupConfigured

04Automations

04 / 07AutomationExample configuration

Configure recurring analysis, reporting, and workflows with defined triggers and controls.

TriggerFirst business day of each month
RunMonthly variance review
ControlApproval before findings are shared
Report delivered to the finance owner

05Simulations

05 / 07Simulation runExample configuration

Run simulated conversations to check quality before anyone relies on it.

IT Cost Analyst · month-end questions

Test conversations

“Why is this quarter over budget?”Passed
“What changed in our forecast?”Passed
“Which owner is responsible for the variance?”Needs review
Checked before rollout

06Insights

06 / 07InsightsExample configuration

Watches your spend and usage data for you and flags unusual changes, so nobody has to scan reports and dashboards by hand.

Watching

Cloud and AI spendLicence usageVendor invoices

Flagged changes

AI platform spend rose faster than usualCloud FinOps Analyst
New vendor charge without an ownerVendor & Contract Analyst
Seats unused on two toolsLicense & SaaS Optimization Analyst

07Knowledge & Governance

07 / 07GovernanceExample configuration

Apply your organization's policies, financial definitions, access permissions, and approval requirements.

Financial definitionsYour glossary and cost categories
PoliciesSpend and allocation policies
Access permissionsFinance and FinOps roles
ApprovalsApproval checkpoints for defined actions

Governance

Enterprise AI, with governance built in.

IT finance runs on approvals, ownership, audit and policy. AI Studio works inside those controls, not around them.

  1. InRequest
  2. Gate 1Access check
  3. Gate 2Guardrails
  4. Gate 3Human approval
  5. Gate 4Audit trail
  6. OutTraceable answer
  • Role-aware permissions

    Specialists only reach the data your access controls allow.

  • Source-grounded

    Every answer traces back to governed data or approved documents.

  • Human approval

    Consequential steps wait for a person. You decide which.

  • Fully traceable

    Every recommendation can be explained, reconstructed and audited.

  • No guessing

    When data is missing, the specialist says so. It never fabricates a result.

Admin governance checklist
  1. 01Data sources use the right authorization settings.
  2. 02Specialists only use the data sources they need.
  3. 03Playbooks follow approved operating procedures.
  4. 04Automations have the right trigger, approvals and notifications.
  5. 05The knowledge base holds approved, current documents only.
  6. 06Guardrails reflect your content, topic and privacy rules.
  7. 07Simulations run before broad rollout.
  8. 08Insights and run history are reviewed after rollout.

Book a demo

Put specialist AI to work in your organization.

See how Yarken AI Studio can support your technology finance workflows, using your business context and operating requirements.

Book a demo →

More to explore

AI Engine

AI Models

Specialist agents coordinating enterprise financial operations.

Yarken's AI Engine breaks complex TBM and FinOps workflows into focused specialist agents: cloud, vendor, allocation, governance, reporting. An orchestration layer runs them consistently, with human approval at every consequential step.

AI Platform

AI Platform

A connected operational graph agents can traverse in real time.

Every connector, API, and capability registered as a semantic tool. Agents discover and select tools mid-workflow, traversing relationships across vendors, contracts, cost centres, and cloud resources without manual wiring.

AI Labs

AI Labs

Researching the operational layer that comes after the copilot.

AI Labs explores agentic workflows, knowledge-grounded intelligence, workflow formalization, and trust frameworks, studying how analyst expertise and governance decisions become structured, reusable operational intelligence at enterprise scale.