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― AI Operations Services
Outcomes at Every Stage
AI adoption surfaces different problems depending on where the organization is. Each one lives in the operation. The entry point shapes everything that follows.
Some organizations are discovering that AI adoption has outpaced coordination and need a shared starting point. Others have a workflow in production generating more exceptions than the team can clear. Others need governance in place before adoption can move.
The portfolio is designed so organizations can enter where their situation demands and move at their own pace. Every offering produces standalone value. No engagement obligates the next.
AI Operating Baseline
A tool-led discovery engagement for organizations where people are already using AI but usage is not yet coordinated. Combines automated discovery with targeted executive conversations and a facilitated prioritization session. Produces a shared starting point: what is happening today, where to focus first, and what governance needs to be in place.
AI Readiness Assessment
A scored evaluation across eleven capabilities with a prioritized roadmap. For leadership teams ready to commit resources and needing a clear view of where to invest them.
The Prosable Path
The Prosable Path is a framework with three stages: Possible, Probable, and Proven. It covers the full arc from exploration through design, operating proof, and production operations. Organizations enter wherever their situation demands and progress at their own pace.
Forward-Deployed Diagnostics
Three diagnostics for teams with a specific question about how work happens today. Operations Health Check evaluates the operating system around a workflow missing targets (throughput, accuracy, or resolution speed). Process X-Ray documents how work actually moves through an operation, including the handoffs, workarounds, and rules that documentation misses. Exception Baseline classifies exceptions into five types and measures volume, resolution time, and cost-to-serve to locate friction.
Governance & Enablement Design
For organizations that need governance and enablement for AI adoption. Decision rights, approval processes, and roles paired with coaching that turns governance into practice. Often the right starting point when governance and readiness are the blockers, not technology.
Prosable Advisory
Strategic counsel for leaders navigating AI adoption or governing a portfolio of workflows. Executive Advisor mode gives leaders ongoing counsel on options, direction, and where to commit. Strategic Operations Governance mode shares the operating burden across a scaling portfolio through backlog-driven governance and co-leadership.
Prosable Operations
Operating support for AI workflows in production. Managed Operations runs the exception queue, updates playbooks, and improves performance as a full service. Embedded Operations builds this capability within client teams through forward-deployed engineering, then steps back as teams mature.
Where the model applies
The operating areas below share a common pattern: AI can handle routine volume, but a significant share of the work requires human judgment to route, resolve, or escalate. The Prosable model applies in that gap between what can be automated and what still needs a person.
Finance Operations
The invoice doesn’t match the PO. Someone has to decide whether to split the payment, hold it, or escalate, and every day that decision sits in someone’s inbox, cash flow waits. Finance already practices the professional skepticism that AI-generated outputs demand.
Marketing Operations
Marketing execution has gone continuous and personalized. A campaign targets the wrong segment because two platforms disagree on who qualifies, and someone has to decide which source of truth wins before the send goes out. The MarTech stack keeps growing, but the team is still manually reconciling campaign assembly, audience segmentation, content production, and performance measurement across disconnected tools.
Sales Operations
The deal is at 80% in the CRM. The quote is stuck because the discount exceeds the approval threshold and it is unclear who has authority to sign off.
Customer Service Operations
Every case that falls outside the standard resolution path costs multiples more than one that stays inside it. In many operations, the largest share of inbound volume is invoice, payment, or contract related. A customer disputes a charge that technically matches the contract terms but violates what the sales rep promised, and someone has to decide which commitment to honor.
Field Operations
The field team is building tomorrow’s schedule by hand because the dependencies between crews, equipment, and site conditions have never been mapped in a way the system can use. Estimates live in one system, actuals in another, and reconciliation happens manually or not at all. In safety-critical environments, every manual handoff is a place where compliance documentation can break.
HR Operations
A new hire’s benefits enrollment triggers exceptions because the system does not handle mid-month start dates, and the pattern only became visible after it happened five times.
Enterprise-Wide AI Readiness
For organizations that are not yet sure which function to start with, the AI Readiness Assessment evaluates the whole picture: identifying where AI adoption has momentum and where gaps will stall progress.
Find the Right Starting Point
Not sure which offering fits? A conversation is the best place to begin.
