The same AI cost decision engines that reconcile and attribute spend across your clients' AI & cloud workloads also become a new, recurring service line you sell, under your brand, at your margin.
CloudIntelligence.ai is the company behind AICost.ai, CostOptimization.ai, and ToolsInfo.com. Founder Subu Vdaygiri launched Microsoft NCE products like Azure, AWS, and GCP for Ingram Micro's global cloud marketplaces, and built the CloudBlue data lake that reconciled bills and optimized costs for hundreds of MSPs and resellers. He brings that discipline to you directly, with products and hands-on MSP consulting.
At AICost.ai and our sister site CostOptimization.ai we provide the largest free toolset and knowledge base for your most complex cost issues: bill spiking and cost visibility, optimizing and reducing cost without losing quality, and planning a new AI workload accurately. For MSPs, we automate the laborious manual reconciliation and build custom, white-labeled capabilities you can sell under your brand as a new ARR line.
More than 100 AI cost decision engines cover every AI workload, from RAG to agentic loops to physical AI. Chain, mix, and drop them like lego blocks into your workflows via MCP, and stand up real-time AI cost monitoring and management within a day. You can also use them for ad-hoc AI cost calculations. Explore the decision engines →
AI spend is scattered across gateways, model vendors, and cloud accounts, and it lands on your team to attribute, reconcile, and resolve. The engines do that as modular, callable components, per client.
Ingest AI + cloud billing (AWS CUR, Azure, BigQuery) and attribute spend by client, feature, team, and workload, automatically, without the spreadsheet work.
CostWall watches the money: budgets, daily caps, spike detection and a kill switch compiled into the gateway your clients already run.
A persistent, modeled-vs-actual ledger turns "we saved you money" into audit-grade evidence, the report that renews the contract.
Everything you need to run AI cost management as a service, with hard isolation between clients and proof that renews contracts.
OAuth/SSO sign-in for your team, no key sharing. Issue and revoke client keys from the admin API: revocation lands in under 30 seconds, rotation is a single call.
Budget thresholds at 50, 80, and 100 percent plus spend-spike anomalies, HMAC-signed and delivered to ConnectWise, Autotask, Slack, or Teams. A breach becomes a ticket.
Every key scoped to one client, enforced at runtime and verified by an automated test gate. Per-tenant pricing markups and in-band branding are built in.
The reconcile Ledger and FOCUS-format export quantify realized savings per client every month, backed by nightly backups and a tamper-evident audit trail.
Every engine is a service you can package. Under your brand, priced your way, the same platform that saves your team hours becomes ARR across your book.
Monthly review of each client's AI workloads, routing, caching, batching, model right-sizing, delivered as a CostProof report. Recurring, defensible, and yours to price.
Offer the VC/PE-grade diligence engines to clients raising or acquiring, cost-claim stress-tests and burn-multiple analysis as a premium engagement.
Sell governance: budgets, guardrails, jurisdiction and compliance exposure across each client's AI estate, enforced in their gateway.
Recommend compliant, integrated tool stacks for each client from a 491-field, 115K-tool discovery layer, HIPAA/SOC2 filters, integration and MCP readiness built in.
All of it runs on the same decision engines your clients can also self-serve directly. You add the expertise, the brand, and the accountability. Explore the decision engines →
You change one thing, your gateway config. Most partners are live on their own the same day.
One URL in Claude, ChatGPT, Cursor, or Perplexity. Ask it what your AI costs. That is the install.
Set a firewall budget on one workload: caps, rate limits, an anomaly rule, and a kill switch, in your gateway's own config format.
Paste it into LiteLLM or Cloudflare AI Gateway. Exceed the cap, get an HTTP 402. That is the runaway, stopped, in your traffic.
Feed your gateway or AWS, Azure, and GCP billing back in. Reconcile modeled versus actual and report what the savings really were.
Most organizations don't run one AI project. They run many, at different stages. Some are still ideas. Some are in design. Some are in pilot. Some are being built into production. And some are finished yet stuck, unable to launch because the cost is unpredictable or the governance isn't signed off. AICost works at each stage.
A quick, honest cost before anyone commits time.
Model the full workload before a line of code ships.
Prove the numbers on real traffic, then tune them.
Keep spend in bounds as volume grows.
Cleared to launch, but costs are unpredictable and governance isn't signed off. This is where projects stall.
Bigger than a credit card, this starts with a conversation about your book, not a plan picker. Limited founding partners; co-delivery and feedback expected.
Tell us about your AI & cloud workloads and what you're trying to solve. We reply to every serious enquiry.
✉ [email protected]One hour on your actual AI + cloud costs, diagnosing spikes, cutting spend without losing accuracy, or planning a new workload. You leave with a written report and a toolchain.
Fee credits toward any AICost plan, you never pay twice for the same ground.
Bring your book; we bring the cost intelligence, multi-tenant and white-labeled. Let’s co-build the offer.
✉ [email protected]