Discover opportunities
Identify workflows where AI and automation can address an operational need.
AI Advisory & Transformation Services
Turn AI priorities into
a plan your teams can deliver.
Identify where AI and automation can improve your operations, what delivery will require, and how success should be measured. Bring business priorities, enterprise readiness, and governance into a shared transformation roadmap.
Assess value and readiness
Compare expected value with information, system, and delivery requirements.
Shape architecture and controls
Define the solution boundaries, review points, and operating responsibilities.
Build the transformation roadmap
Sequence initiatives around priorities, dependencies, and evidence.
A business case before a build
Start with the work.
Shape the right AI investment.
Enterprise teams often have more AI ideas than they can confidently fund. The decisions behind them are harder: which workflow matters most, whether the information is usable, who owns the outcome, and what improvement would justify the investment.
Xalta brings process discovery, business-case modeling, readiness assessment, and solution architecture together. We evaluate AI and automation options against your operating context, then define a sequenced roadmap with the controls, responsibilities, and evidence needed to move toward delivery.
Begin with a measurable need.
Establish current processing effort, delays, exceptions, and operating costs before estimating what a proposed change could achieve.
Choose the approach that fits.
Evaluate AI, rules, workflow automation, and integration around the task, existing architecture, and enterprise requirements.
Make ownership explicit.
Agree who will sponsor, approve, operate, monitor, and improve the solution before it becomes part of everyday work.
Business challenges
AI ambition is growing.
Delivery decisions need clarity.
Unclear value, readiness gaps, fragmented ownership, and isolated pilots make it difficult to turn AI interest into a practical enterprise program.
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Ideas without a clear business case.
Teams can identify promising AI use cases but struggle to compare their value, cost, and delivery effort. Without a baseline and accountable business owner, investment decisions depend on assumptions that have not been tested.
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Readiness gaps discovered too late.
Information quality, application access, integration dependencies, and operating constraints are often examined after a pilot begins. These gaps can change the scope, delay implementation, or leave a technically capable solution without a reliable operational foundation.
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Governance and ownership left unclear.
Business, technology, security, and operations teams may have different expectations of the same initiative. Unclear review thresholds, exception routes, and decision rights make it harder to approve changes and take responsibility once a solution is live.
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Pilots without a path to scale.
An isolated proof of concept can demonstrate a capability without resolving production requirements. Adoption, support, architecture, funding, and portfolio priorities need a shared plan before the approach can extend into additional workflows.
From opportunity to application
A practical advisory engagement.
Connected to the work ahead.
Understand how we collaborate, what the engagement produces, and the kinds of operating workflows the recommendations can address.
How we work
Discover with your business teams
Review workflows with the people who perform and own them, establishing the current effort, exceptions, constraints, and business priorities.
Prioritize with decision-makers
Compare opportunities by expected value, complexity, risk, and strategic fit, making assumptions and evidence gaps visible to the sponsors.
Design with technology owners
Work through information access, platform fit, integration, controls, and operating responsibilities before recommending a delivery approach.
What we deliver
A prioritized opportunity portfolio
An assessed process inventory and a sequenced view of opportunities, with business ownership and the reasoning behind each priority.
A business case and readiness assessment
An operational baseline, explicit value and cost assumptions, and findings on information quality, systems, resources, and delivery dependencies.
An architecture and governance blueprint
Recommendations covering platform fit, integration design, access boundaries, human review, exception handling, and the responsibilities needed to govern delivery.
A delivery roadmap and pilot brief
A practical sequence of initiatives, with a scoped starting point, acceptance criteria, stakeholder responsibilities, and review points for further investment.
In the field
Attorney invoice operations
Assess submission consistency, transaction rules, ERP handoffs, and exception ownership to establish a suitable automation scope.
Energy invoice operations
Review document variability, vendor-specific rules, validation steps, and accounting dependencies before shaping the delivery plan.
Healthcare remittance workflows
Examine payer formats, remittance validation, review thresholds, and downstream claims-system requirements before planning document intelligence.
Clearer investment priorities.
Compare opportunities by expected business value, implementation complexity, risk, and strategic fit using a consistent decision framework.
A shared view of readiness.
Identify information, integration, operating, and capability gaps early enough to address them in the delivery plan.
Defined accountability and control.
Align stakeholders around human review, exception ownership, approval requirements, and the evidence needed to evaluate the solution.
A practical path to delivery.
Sequence the work into scoped initiatives with owners, dependencies, acceptance criteria, and review points for further investment.
Where advisory decisions become practical
Find the right starting point.
Build around a real workflow.
Explore operational areas where opportunity assessment, readiness checks, and solution design can establish a focused AI and automation initiative.
Finance operations
AP Invoice Automation
Assess invoice intake, document variability, validation rules, and ERP handoffs to define where document intelligence and workflow automation can support accounts payable.
Explore the solution
Healthcare revenue cycle
EOB Processing Automation
Examine payer formats, remittance checks, exception patterns, and downstream posting requirements before shaping an intelligent document-processing initiative.
Explore the solution
Financial services compliance
Credit Card Offer Compliance
Review source information, comparison rules, review cycles, and discrepancy ownership to determine how a repeatable compliance workflow should operate.
Explore the solution
Customer and member operations
AI Voice Agents
Assess recurring enquiries, supported actions, information access, consent requirements, and human escalation before defining an enterprise voice-agent scope.
Explore the solution
Healthcare administration
Insurance Credentialing Automation
Map application intake, verification steps, reviewer responsibilities, and status follow-up to prioritize suitable automation opportunities across credentialing operations.
Explore the solution
Automation portfolio evolution
Automation Migration Accelerator
Assess existing automation assets, dependencies, platform fit, and testing requirements to plan a sequenced migration and modernization program.
Explore the solutionExperience that informs the plan
Ground the opportunity
in delivery experience.
Xalta’s implementation experience across finance, energy, and healthcare informs practical decisions about workflow scope, information quality, validation, and operating ownership.
Financial services · Attorney invoices
From 4 minutes to 30 seconds per transaction.
A personal finance company connected attorney invoice retrieval, business-rule validation, ERP entry, and operational reporting.
Energy · Invoice operations
Approximately 70% less manual invoice effort.
An energy invoice engagement combined document extraction, configurable vendor rules, validation, and accounting-system updates.
Healthcare · Remittance processing
From scanned EOBs to EDI 835.
Document intelligence, remittance validation, exception handling, and EDI conversion supported downstream payment-posting workflows.
Before you begin
Make the next decision
with the right context.
Where should we start if our AI priorities are still unclear?
Start with a defined business area and the workflows causing the most friction. We examine current effort, exceptions, dependencies, and strategic importance, then compare candidate opportunities. The assessment helps establish where further investigation, a scoped pilot, or a different approach would be appropriate.
Does advisory always lead to an AI implementation?
The recommended approach follows the work. Some requirements may be better served by rules, workflow automation, integration, or process changes. We assess AI and automation options against business requirements, information readiness, governance, and your existing architecture before recommending the next step.
What will we receive from the engagement?
The agreed scope can include an assessed process inventory, a prioritized opportunity portfolio, a business case with explicit assumptions, readiness findings, solution and integration design, governance recommendations, and a sequenced roadmap. Where appropriate, the roadmap includes a pilot scope and acceptance criteria.
How do you involve our teams and plan for scale?
We work with business owners, process specialists, technology teams, and relevant control functions to validate findings and agree responsibilities. For a broader program, the scope can address intake and prioritization, delivery standards, governance, executive reporting, and an AI or Automation Center of Excellence operating model.
Plan your next AI initiative
Bring your priorities.
Leave with a clearer next step.
Tell us which workflows create the most friction, what you have already tried, and which decisions are holding the initiative back. We can help assess the opportunity and define a practical path forward.
Discuss your AI priorities