Reimagine portfolio consulting, fraud and risk, and client success.
Three roles, where people and AI work together
Issuer portfolio consulting
Responsibilities to review
- Assemble portfolio benchmarks
- Draft proposal and readout
- Track initiative status and risks
- Draft rules and fees communications
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI assembles the portfolio benchmarks, drafts the proposal skeleton and the engagement readout, tracks status, action items, issues, and risks across consulting, implementation, and marketing initiatives, and drafts the rules-and-fees communications. The analyst keeps the client counsel and the recommendation.
Fraud and risk solutions
Responsibilities to review
- Build acceptance vs fraud KPI readout
- Investigate a portfolio anomaly
- Draft contractual client reporting
- Prepare the monthly risk review pack
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI builds the KPI readouts that align acceptance and fraud performance, watches for fluctuations and anomalies in portfolio behavior with the history attached, and drafts the contractual reporting clients require. The consultant keeps the risk strategy, the client conversation, and the judgment calls.
Client success and implementation
Responsibilities to review
- Track implementation checklists and blockers
- Assemble adoption and performance readout
- Draft QBR pack for a client
- Update the client success plan
Illustrative workflow responsibilities. Confirm the tools, data, human decisions and review criteria for your work.
AI tracks implementation checklists and blockers across client and internal teams, assembles adoption and performance readouts for every deployed product, and drafts the success-plan updates and QBR packs. The consultant keeps the stakeholder relationships and the adoption strategy.
Reference workflows to adapt to your organization
Explore these reference workflows and adapt one to your organization. See a proposed division of work between people and agents, with decisions, responsibilities and handoffs. Task Intelligence provides the detail behind the redesign.
Customer Success
The client success motion above runs inside this workflow: monitor the account, spot the risk, reach out before the churn. See where agents watch and people talk.
Security Operations
Alert triage, threat enrichment, escalation routing. The same task shape as fraud ops, applied to the network. Watch the redesign produce a real-time threat assessment agent.
Incident Management
When an authorization rail or a client integration breaks, your incident workflow runs. See how agent-native ops compresses 10 tasks into 7 with new agent-led guardrails.
Order-to-Cash
Billing, invoicing, and collections carry the same shape as interchange and fee settlement: high volume, rule-driven, exception-managed. Watch which tasks collapse into agent steps.
Prepare your workforce for the redesigned work.
Your workforce brings people and AI agents together. Workflows define how they share the work. Define what agents do, who reviews their output, and when they hand work back. Use Task Intelligence to understand the tasks within each step, then prepare your people to build and run the new version through simulations, hands-on projects and skill validation. Revisit affected responsibilities and readiness when the work changes.
Task evidence within cards and payments workflows
These research inputs include vendor and source-reported software capabilities, product features and descriptions of work. The stored classifications in this selection contain 366 source examples for AI support and 576 for automation. They are not validated workflow outcomes or proof of agent performance. Task Intelligence helps examine the work in context; review each example against your responsibilities, controls and exceptions before using it in a redesign. The first 5 AI-support examples are below.
576 source examples classified for automation›
How we work with card networks and issuers
Co-sponsored model. Functional head (Head of Client Services, Chief Risk Officer, Head of Consulting, CTO) plus your transformation office in the room together. The 6 to 8 week AI Bootcamp prepares people for agreed workflow responsibilities through simulations and assessments. Then the Transformation Engagement scales it across the operating model, same client relationships, same network standards.
Want a cards-specific walkthrough?
20 minutes. We pull your top three task patterns from the dataset and show you the redesign live, with your practices and your client portfolio in the frame.
Book a time