AI that drives business outcomes.
Applied AI Solutions embeds engineers with your team to understand, re-architect, and optimize your financial systems for the AI era.
Trusted by the world’s leading organizations
The challenge.
87% of CFOs say AI is critical. Only 21% report seeing measurable results.1
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Fragmented Data.
Messy and siloed data across dozens of systems: custom ERPs, a chart of accounts inherited through acquisitions, PDF policies, and context that exists in people's heads.
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Lack of Context.
Generic AI doesn't understand your business. Without domain knowledge built in, it produces responses that look right but aren't reliable enough to act on.
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Change Management.
Teams are busy doing their day jobs. Becoming AI-native requires a fundamental cultural shift and operational redesign that most organizations can’t drive on their own.
The Ramp method.
Solve the Data Problem. Our engineers embed with your finance team to map your data to how your business actually runs, then build agents that read and write into systems already in place.
Domain Expertise. Ramp processes $200B+ annually for 70,000+ businesses, giving us a working view of how finance operates at scale: vendor patterns, month-end bottlenecks, and where workflows break.
Cost Control. Ramp is model-agnostic by design. We select the right model and provider for each task based on performance and cost per outcome.
Active solutions.
Examples of the work we're doing for finance teams.
Turn your GL into a live management view
GAAP closes the books. It doesn't run the business. We turn your GL into a real-time management layer, so your CFO can answer operational questions without waiting for the monthly close.
Find the rule. Cite the source
Real policy isn't a flowchart. It's exceptions buried in PDFs and someone's email from 2019. An adjudication agent reads the library, picks the binding rule, and cites the source.
Reconcile every contract line, every invoice
Procurement contracts are 50-300 pages of nested pricing logic your AP team can't cover manually. A reconciliation engine reads every line, matches every invoice, and flags what doesn't add up.
Place every asset in the right facility
Complex financing structures spread new assets across 10-20 facilities, each with its own constraints. Portfolio managers do it manually. An allocation engine scores every facility and picks the right one.
From kickoff to production in weeks.
We start with one workflow. We map, deploy, and hand off ownership. Engineers stay on call as your business evolves.
1
Discovery
We embed with your finance team to map how work moves across systems and decisions, and where the leverage lives.
2
Deploy
We build a working agent against a tightly scoped workflow and ship it to production. Your team sees ROI before we expand.
3
Empower
Your team takes ownership of what we built together. We document, train, and stay close as adoption grows.
4
Adapt
As the business evolves, we update the logic and ensure your system runs on the most cost-efficient models.
Enterprise-grade from day one.
Built on the infrastructure powering $200B+ in annual payments. Visit trust.ramp.com for more information.
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Data encryption and isolation.
Encrypted in transit and at rest, running on dedicated infrastructure in a fully isolated cloud account.
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Custom fit to your process.
Strict allow lists for every customer. AI models never train on or view your data.
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Runs on SOC 2 Type II infrastructure.
Continuous monitoring, auditing, and confidence controls protect your business at scale.
Frequently asked questions
Applied AI Solutions sits at the intersection between Ramp software, finance expertise, and embedded AI engineering. We connect fragmented financial data and build agentic workflows that operate within your existing systems. The result is enterprise-grade production software designed around measurable business outcomes.
Ramp processes more than $200 billion annually across 70,000+ businesses, giving us a practical view of finance workflows and exceptions at scale. Ramp’s internal finance team relies heavily on AI agents in production for capital planning, variance analysis, board reporting, and close-related work.
Core Ramp is an all-in-one financial operations platform spanning corporate cards, expense management, bill payments, procurement, travel, treasury, vendor management, accounting automation, and more. Applied AI Solutions brings Ramp’s technology and engineering expertise to workflows unique to your business. We select the Ramp primitives that fit the problem. We combine them with your systems, data, and business rules to build production-grade agentic solutions around how your team works.
AI labs provide models, consultants provide advice, and internal teams provide company knowledge. Ramp brings these capabilities together through finance expertise, embedded engineers, and a managed platform. We select models based on the accuracy, cost, latency, and reliability required for each task.
The Finance Intelligence Layer acts as a semantic translator for your business. Ramp engineers embed to learn how your business works from the inside, mapping and labeling the data, workflows, and ownership behind it. This captures the context your finance team carries in their heads and turns it into a structured format that AI can understand. As a result, AI doesn’t just see GL accounts, entities, contracts, policies, metrics, exceptions, and more - it understands what they mean, how they relate, and the role they play in running your business. It’s this hands-on, upfront work that makes the difference between AI that produces plausible-looking answers and AI you can trust with critical financial work.
Applied AI Solutions is a strong fit for enterprise finance teams with recurring, high-value work that standard software cannot handle because it spans systems, entities, documents, or bespoke rules and logic. Existing workflows do not need to be fully documented before we start; the Diagnostic is designed to uncover where the work breaks and identify the best automation target.
Nothing is off limits. The Applied AI Solutions team extends reach to all finance workflows. Some examples include:
- Contract-to-invoice reconciliation and complex AP/AR matching
- Close orchestration, account reconciliation, flux analysis, and reporting
- Procurement intake, document collection, vendor risk, and renewal workflows
- Policy interpretation with source citations and structured approvals
- FP&A analysis, scenario modeling, and budget-versus-actual reporting
- Capital or asset allocation across entities, funds, or facilities
- AI cost, model-routing, governance, and evaluation workflows
No, and an existing Ramp relationship is not required. Agents can connect to ERPs, warehouses, contract repositories, cloud storage, email, spreadsheets, Ramp, and other systems, then read or write back to where the work already happens.
Ramp’s standard offering runs in a Ramp-managed, customer-specific environment designed to provide data isolation, network isolation, and encryption guarantees. Customer-hosted and on-premises deployments are not part of the standard offering.
- Diagnostic: We deeply embed with your team for a focused discovery over a short period of time: mapping systems and processes, identifying where workflows break, and quantifying the friction. We then recommend the highest-value automation targets.
- Deploy: We remain embedded and turn that plan into a solution in production. We connect and reconcile data, encode business rules, and build agentic workflows alongside your engineers and operators that are tied to your business KPIs.
- Empower: We prepare your team to operate the solution. We document its logic, data flows, controls, and runbooks, train business and technical teams, and establish clear responsibility for day-to-day operations and future changes.
- Adapt: We continue to maintain and improve the production solution as requirements, data, and workflows evolve. We refine the logic and integrations, monitor performance and cost, and switch underlying models when better-performing or lower-cost options become available.
Engagements begin with a focused use case that can be validated in production within a few weeks. The timeline depends on the complexity of the use case, required integrations, data access, security review, and stakeholder availability.
Success metrics are agreed upon before the build: for example, hours saved, cycle time, accuracy, exception rate, dollars recovered, leakage prevented, or adoption. The first deployment includes a before-and-after readout and an expansion decision.
Customer environments use encrypted, isolated infrastructure with access controls, allow lists, monitoring, and auditability. Ramp contractually restricts third-party AI providers from training on customer data and requires zero data retention. Ramp’s own data use follows the applicable agreement and published privacy and security practices. Workflows can include citations, approval steps, exception queues, and human override. See Ramp’s Trust Center.
No. To the contrary, Ramp acts as an AI fiduciary: the architecture is model-agnostic by design, benchmarked across providers, and token-optimized. Ramp evaluates models against finance tasks and selects the best fit for accuracy, cost, latency, and resilience. The underlying model can change as requirements evolve or better and cheaper options become available.
Customers retain their data and source materials. Ramp operates the managed service and retains its platform, models, tools, and infrastructure. Rights to outputs and customer-specific deliverables are defined in the agreement. Ramp documents the workflow, trains operators, and gives the customer day-to-day operational control.
Customers provide a sponsor, workflow owner, relevant data and system access, and IT/security participation as needed. Subject-matter experts validate rules and outputs; Ramp leads the workflow design and production build.
The team is led by Ori Daniel, Head of Applied AI Solutions, and includes applied AI engineers, finance strategists, and specialists in platform, integrations, data, and security. Staffing follows the workflow.
Applied AI Solutions is priced separately from core Ramp. A proposal often includes a Diagnostic, followed by platform access, engineering support, and usage. Pricing varies widely from client to client and depends on complexity, integrations, capacity, and expected value. Conceptually, we treat all of our engagements as value-share. We only win together with our clients.
Start with one question: Which finance workflow would create the most value if it stopped being manual? Ramp will assess the workflow, sponsor, data, success metrics, and best next step.
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