ServiceNow holds the operational truth of the enterprise: every incident, change, request and case, with timestamps. KPI Partners gets that data into your analytics estate, joins it to finance and HR, and builds the agents that act on what it shows.
Enterprise AI
ServiceNow is where the enterprise records what actually happened. That makes it the best training ground for AI in the business and the least forgiving one, because everyone can check the ticket.
Assistants grounded in your knowledge base, catalogue and resolved case history, so answers cite a real article rather than inventing one.
Agents that take action in the workflow, opening, enriching, routing and closing records with a full audit trail.
Prediction on operational data: which changes will fail, which tickets will breach, where volume is heading next quarter.
IQ Foundry by KPI Partners
IQ Foundry is our suite of GenAI and agentic accelerators built around business functions rather than industries. Several map directly onto ServiceNow workflows, so an agent can read the case, reason over the wider data estate, and write the action back into the record.
Employee 360 and policy answers, working alongside HR Service Delivery cases.
Sourcing, supplier and contract intelligence across the purchase lifecycle.
Inventory position, fulfilment exceptions and supplier risk, surfaced as actions.
Rebate eligibility, accrual tracking and claim leakage detection.
Proposal and response generation grounded in your approved content library.
Peer and internal benchmarking with the source figures always traceable.
Claims triage, adjudication support and exception handling for insurers.
Marketing, legal and IT accelerators are in the roadmap. Tell us the function and we will scope building it with you.
Enterprise Context Engine by KPI Partners
Auto-context is not governed context.
An AI agent can read a ticket. What it cannot infer is which service that CI actually supports, which of your four overlapping priority schemes the SLA runs on, or whether this requester is allowed to see the answer it is about to give. That gap is where AI programmes lose trust.
The Enterprise Context Engine is not a product you buy from us. It is the delivery discipline that turns platform-native capability into governed, secured, evaluated context. Around ServiceNow that means treating the CMDB and service model as the context backbone, reconciling the workflow taxonomy, and aligning agent permissions to the roles already defined in the platform.
Assess CMDB health, workflow data quality and governance posture. Output is a gap list and a sequenced plan.
One real workflow, modelled and grounded end to end, tested for answer accuracy against known outcomes.
Gold-layer modelling, access and PII masking, verified answers, evaluation harness, human review paths.
Context library maintenance, accuracy monitoring, adoption tracking and continuous cost governance.
What we do around ServiceNow
Plenty of partners will configure your workflows. Fewer can take what those workflows produce, join it to finance, HR and supplier data, and turn it into something an executive will act on. That is the gap we fill.
Getting workflow data out reliably, incrementally, and without hammering the instance.
Service performance measured against outcomes rather than ticket counts.
HR Service Delivery and Customer Service Management data joined to the systems of record behind them.
A CMDB nobody trusts undermines every downstream metric and every agent you build on top of it.
ServiceNow data is most valuable joined to everything else. We build the joined models.
Follow-the-sun run and support so the pipelines and models keep working after go-live.
Integration patterns
There is no single right target. What matters is that extraction is incremental, schema changes at upgrade do not break the pipeline, and the instance stays fast while it happens.
Enterprise Analytics Accelerators
Our Enterprise Analytics Accelerators cover 32 pre-built analytics packages across 11 enterprise source systems. Each ships with extraction logic, a conformed data model and a working set of metrics, so the first business-visible output lands in weeks rather than quarters. For ServiceNow customers the value is in the join: workflow data is far more useful next to the ERP and HCM data these accelerators already model.
Request the accelerator catalogueFinance, procurement and order-to-cash subject areas for SAP, Oracle and NetSuite.
Pipeline, retention and service metrics from Salesforce and adjacent systems, joinable to CSM cases.
Headcount, attrition and talent views from Workday and SuccessFactors, joinable to HRSD cases.
Inventory position, fulfilment performance and supplier risk across ERP and WMS sources.
Vertical extensions for life sciences, insurance, manufacturing, retail media and energy.
Case studies
Two engagements that show the range: real-time ML on operational data, and a full analytics platform transformation.
Detecting fraudulent payroll activity as it happens rather than in a retrospective audit, using streaming pipelines and anomaly detection models running against live payroll data.
Moving a renewable energy business off a constrained reporting estate onto a modern cloud data warehouse, with ERP as the core source and a governed model built for the whole enterprise.
How we engage
We work in fixed-scope stages so you can stop, redirect or scale after any one of them.
Instance and CMDB health review, workflow data inventory, target architecture and a costed wave plan.
One real workflow or agent built end to end, in production, proving the pattern with your data.
Wave-based delivery of remaining workflows, subject areas and agents, with parallel run and reconciliation.
Managed services, upgrade-safe pipelines, cost governance, and an enablement track so your team owns it.
Industries
Deep domain models matter more than generic architecture. These are the industries our accelerators and delivery teams know best.
Start the conversation
Send us the shape of the problem and we will come back with a point of view, not a capability deck. If an assessment or a pilot makes sense, we will scope it with a fixed price and a fixed timeline.