Manage AI in the language your business already uses.
Choose from 13 ready-made playbooks: Professional Services and Accounting, Legal, Finance, Real Estate, Engineering and Software, Manufacturing, Insurance, Education, Healthcare Delivery, Life Sciences, Media, Advertising and Communications, Public Sector, and Energy and Utilities. Each starts with familiar work areas, then syncs customer-owned records and uses the tenant-owned clients, matters, policies, claims, courses, encounters, studies, campaigns, programs, assets, exact tags, mappings, and corrections your company provides to organize matching AI activity.
Client → engagement → project or deliverable → review
Professional Services, Consulting and Accounting
Connect advisory, accounting, and consulting AI work to registered client and engagement context plus captured project, workstream, and deliverable evidence.
Policy
Protect confidential client work and require the engagement owner to review client-facing deliverables.
Quota + spend
Set quotas and group spend by client, engagement, project, employee, or department.
Report
Compare AI spend, time avoided, billable-value evidence, and engagement margin by client or engagement.
Accountable professionals and source systems retain billability, accounting conclusions, and client commitments.
Sync clients and matters from a connected legal system, then automatically organize captured AI work using exact matter metadata, prompt tags, and firm-defined rules. Classify the subject and requested action or intent separately, then connect the work through exact tenant-owned client → matter IDs using supplied matter metadata, exact prompt tags, company mappings, or an exact registered client or matter reference in authorized prompt content—then review anything unallocated.
Policy
Require client and matter context, approved providers, and attorney review before privileged work proceeds.
Quota + spend
Set quotas and allocate spend by client, matter, practice area, or matter phase.
Report
Compare request volume, AI cost, time avoided, and billing evidence by client or matter.
Your timekeeping system and responsible attorney determine billability.
Business unit → account → portfolio or fund → review
Finance
Sync entities, engagements, cost centers, and accounts, then explain where AI spend is going and keep regulated work inside an accountable review path.
Policy
Protect financial data and require review for customer-impacting work.
Quota + spend
Set quotas and group spend by business unit, account, portfolio, fund, or transaction.
Report
Compare cost per analysis, analyst time avoided, exceptions, and review completion.
SignalCost does not execute trades, approve credit, or make adverse financial decisions.
Client → property → operation, review, retrofit, listing, or deal
Real Estate
Sync properties, transactions, agents, and clients, then connect AI-assisted research, property operations, building compliance, sustainability retrofits, and content to the property or deal they support.
Policy
Protect client and property data and require licensed or qualified review for customer-facing, compliance, and retrofit work.
Quota + spend
Set quotas and allocate spend by client, property, listing, deal, transaction, or brokerage.
Report
Compare property and deal cost, operations and retrofit cycle time, listing turnaround, response time, and rework.
Licensed and qualified professionals retain responsibility for representations, fair-housing review, building compliance, and retrofit recommendations.
Customer or policyholder → policy → claim + property or address
Insurance
Sync customers, policies, claims, departments, and producers, classify the subject and requested action or intent separately, then resolve exact tenant-owned customer or policyholder → policy → claim context and an exact registered property address from supplied metadata, exact tags, company mappings, or exact registered references in authorized prompt content.
Policy
Use PrivateProof to retain bounded context IDs and apply Company policies with human review for sensitive or customer-impacting work.
Quota + spend
Set quotas and group spend by customer, policy, claim, quote, property, or department.
Report
Compare cost per claim, cycle time, adjuster time avoided, review, and escalation rates.
People and authorized systems retain coverage, pricing, eligibility, fraud, and claim decisions.
Agency → program → service, public-health, environmental, or case review
Public Sector
Organize policy, constituent services, public-health data, environmental review, procurement, grants, rulemaking, records, enforcement, and emergency work by agency program.
Policy
Minimize protected government, public-health, and environmental-review data and require authorized or qualified review.
Quota + spend
Set quotas and group spend by agency, program, tokenized case, contract, grant, or department.
Report
Compare staff time avoided, public-health analysis time, environmental-review cycle time, case and procurement cycle time, review, and exception rates.
Authorized employees and qualified reviewers retain public-health interpretation, environmental findings, eligibility, enforcement, award, clearance, records, and public-communication decisions.
Connected records become tenant-only categories. Administrators review uncertain matches in one queue, correct several at once, and improve future matches for that company only.
Owners, finance, operations, and security get the same answer.
See what AI is for, stop the wrong use, route approved work, and explain what the business got for the money.
Business Owners
See whether company AI is helping real work, stop personal or risky usage before you pay for it, and get value without turning adoption into a technical project.
Company AI visibility
Finance
Understand what AI spend was for, which team used it, why it was allowed, and where money can be saved without slowing the business down.
Spend with purpose
Operations
Give employees one approved path to AI, add office Beacons as the company grows, and keep rollout practical for small teams and branch offices.
Low-friction adoption
Security
Keep sensitive checks inside your company by default, block unsafe requests before they reach providers, and preserve proof for reviews.
Pre-provider control
Solutions are organized around the people buying and running company AI.
SignalCost.ai is packaged so owners, finance, operations, security, and support teams can each get clear answers without fragmenting AI provider usage.
Finance-led spend control
Finance teams get an answer to the question they actually ask: what was the AI spend for, who approved it, and where can we save money without blocking good work?
Group usage by topic, owner, provider, model, and decision.
Stop personal or unapproved AI usage before the provider charges the company.
Use reports to explain spend, avoided spend, and value created in business language.
AI spend becomes explainable before it becomes a surprise invoice.
Low-friction rollout for operations
Operations teams can start with SignalCost Cloud and add Beacon where offices need local control without turning AI governance into a branch-office IT project.
Start with automatic provider discovery from captured traffic; add a billing or routing integration only when account access is useful.
Register Beacon with an activation code and open the local dashboard for that office.
Use Beacon local capture and clear source checks first; add network enforcement only when the office needs direct-provider bypass controls.
Your team can make approved AI access the normal path without asking every employee to become technical.
Security without a heavy program
Security teams can block unsafe prompts, unmanaged provider access, and unassigned employee traffic while still letting useful AI work continue.
Use captured source and employee attribution when available, while keeping provider credentials optional for billing, routing, or enrichment.
Review the decision explanation for why a request was approved, blocked, routed, or sent for review.
Keep sensitive prompt review local by default and send Cloud only the decision record when full prompt sharing is not enabled.
Security becomes part of the normal AI path, not a manual after-the-fact review.
MSP + VAR delivery
Turn AI security conversations into operating results.
MSPs and regional VARs can deliver SignalCost as the economic operating layer for governed AI: capture the work, authorize the spend, choose the route, reconcile the cost, and prove the outcome.
Available
Accounting operations
Accounting firms and finance-led professional services teams
Reserve spend by engagement, protect client work, and route approved work to the right provider or model.
Software teams operating coding assistants and agents
Set agent wallets, protect source code, compare model routes, and fund work by repository or delivery stream.
Cost per change, cycle time, accepted pull requests, defects, and incident time.Create Company account ->
Design partner
Manufacturing operations
Manufacturers and industrial operators
Attach AI use to plants and work orders, require review for production changes, and measure route economics.
Downtime avoided, throughput, scrap rate, cost per unit, and maintenance hours avoided.Create Company account ->
Partner delivery motion
01
Scope the customer result
Choose the industry module, one measurable workflow, the capture source, and the first economic policy.
02
Deploy with the shared contract
Install capture, activate Beacon One where needed, and use a versioned template without copying prompts or provider credentials.
03
Hand off the operating rhythm
The customer owns the tenant, ledger, integrations, invoices, and Beacon devices. The partner supports adoption and outcome reviews.
Partners can help configure and support a customer deployment. Customer tenants retain ownership of evidence, credentials, usage, policy, billing, and Beacon devices.
Turn AI cost analysis into approved optimization work.
SignalCost identifies savings opportunities, ranks each recommendation by risk and ROI, projects impact, and routes changes through approval before policy is published.
Model rightsizing
Compare equivalent providers and models by cost, latency, and quality posture.
Cache and reuse
Find repeat prompts, stable context, and retrieval patterns that can reduce token burn.
Approved rollout
Publish approved recommendations into quota and routing policy with audit history.
savings autopilot
Projected annual savings$412K
3.4x platform ROI after approved model routing and quota changes.
Route support summaries to Claude Haiku$84KLow riskCache repeat RAG context$126KMedium effortTighten image generation quotas$61KOwner approval
Start with SignalCost
See what AI spend is for before it becomes another bill.
Start with Cloud. Add Beacon One when an office needs local control.