Why agents stall
The gap between demo and production is rarely the model
It is everything around it. Every agent program needs the same answers, in the same order.
No prioritized portfolio
Pilots chosen by enthusiasm, not value and risk.
Ungoverned context
Messy data and inconsistent metrics cap accuracy.
Security says no
No agent identity, least privilege or audit trail.
No proof of quality
No golden sets, judges or release gates.
Unknown cost
Spend per task unmeasured, so agent two never gets funded.
The agentic AI journey
Fourteen capabilities, delivered in the order that works
Each phase answers one question and must hold before the next adds value. No agent reaches users until it passes the Trust gate.
Phase 1
Plan
What is worth building, and how?
- Agent Strategy & Value Discovery
- Agent Architecture
Phase 2
Foundation
Can agents reach the right context, models and systems?
- Data & Context Readiness
- LLMOps
- Tool & Integration Fabric
Phase 3
Build
Does the agent do the job?
- Agent Development
- Agent Orchestration
- AI for BI
Phase 4 · release gate
Trust
Is it safe and good enough to release?
- Evals
- Agent Security & Governance
Phase 5
Run
Does it keep working at a known cost?
- Deployment & Adoption
- AgentOps
- Agent Economics
- Managed Agent Services
Build
Agents on the AWS, Microsoft, Google Cloud, Databricks or Snowflake stack you already own, grounded in governed context.
For CIOs, CDOs and platform leaders.
Trust
Every agent proven before release, with identity, least-privilege policy, guardrails and evals built in from the first pilot.
For CISOs, risk and compliance.
Run
The fleet at a known cost, with cost per task, spend caps and ROI tracked from the business case through production.
For CFOs and business owners.
How to engage
Start small, expand when it pays back
Four engagements follow the journey. Each one ends with exactly what the next one needs.
Assess
Agent Readiness Sprint
3 to 4 weeks · fixed fee
A ranked agent backlog, target architecture on your platform and the business case for agent one.
Prove
Governed Agent Pilot
8 to 10 weeks · fixed scope
One or two agents in controlled production, with an eval scorecard and a measured cost per task.
Scale
Agent Control Plane
10 to 14 weeks · milestones
Identity, policy, registry, tool gateway, evals in CI/CD and spend guardrails: a repeatable agent factory.
Run
Managed AgentOps
Ongoing · subscription
Monitoring against SLOs, drift alerts and monthly cost reviews, so the fleet gets cheaper and better.
Quick offers
Fixed-scope offers that solve one problem in weeks
Fifteen offers, mapped to the journey. Everything they produce is reused when you move into a full engagement.
Agent Use-Case Prioritization Sprint
10 to 20 candidate agents scored on value, feasibility and risk, each with an autonomy tier.
Platform Fit and Reference Architecture
Target agent architecture on your platform, pattern catalog and a build versus buy view.
Context Readiness Assessment
A readiness score for agent context, semantic and access gaps, and prioritized fixes.
Model Portfolio and Gateway Setup
Three to five models benchmarked on your tasks, a routing policy and a prompt registry.
MCP Connector Starter
Two to three enterprise systems exposed as governed agent tools behind one gateway.
Agent Build Sprint
One agent from your backlog built, tested and running with pilot users.
Multi-Agent Workflow Design
Agent topology, handoffs, human checkpoints and A2A design for one end-to-end workflow.
Dialog with Data Pilot
Conversational analytics on one subject area, with verified answers and measured accuracy.
Agent Eval Harness Setup
Golden sets, judges and a CI release gate for up to three agents.
Agent Red Team and Release Review
Adversarial and safety tests on an existing agent, with findings fixed before go-live.
Security and Governance Baseline
Agent identities, least-privilege policies, guardrails, a registry and regulatory mapping.
Agent Rollout and Adoption Kit
Rollout in Teams, Slack or your apps, human review queues, training and adoption metrics.
AgentOps Launchpad
Release pipeline, end-to-end tracing, SLOs and runbooks for your agent estate.
Agent Cost and ROI Review
Cost per task, spend caps, routing savings and an ROI scorecard against the business case.
Agent Health Check
A quality, security and cost audit of agents already in production, with a plan to run them.
Your platform, natively
No new stack to buy. We build on the one you run.
The journey is the same everywhere. Underneath, we use each platform's own agent runtime, identity, gateway and evaluation services.
AWS
Amazon Bedrock AgentCore, Strands Agents, AWS Agent Registry, Amazon Quick
Microsoft
Microsoft Foundry, Agent Framework, Foundry IQ, Entra Agent ID, Agent 365, Fabric
Google Cloud
Gemini Enterprise Agent Platform, ADK, Agent Runtime, Agent Gateway, BigQuery
Databricks
Agent Bricks, Unity Gateway, Unity Catalog, MLflow, Genie One
Snowflake
Cortex Agents, Snowflake CoWork, Horizon Context, AI Agent Identity
Our impact across industries
AI that delivers real outcomes
Food & beverage
AI agents judged on every answer, with model spend cut 41% on Databricks
Read the case studyGlobal supply chain
Agentic AI moved supply chain orchestration from reactive to proactive on Snowflake
Read the case studySemiconductor manufacturing
Conversational AI agents answered 550,000+ questions for engineering and service teams, every answer cited to its source
Read the case studyBeverage company
AI-powered ERP chatbot cut request resolution time by 85% and operational costs by 30%
Read the case studyReduced claims turnaround using AI-driven workflow automation, improving speed and consistency across operations.
Global financial services leader
Enabled self-service access to ERP and analytics using governed GenAI, reducing IT dependency and improving decision speed.
Leading U.S. beverage manufacturer
Improved reliability through predictive intelligence and root-cause analysis embedded into operational workflows.
Global manufacturing leader
Industries
Start with agents that inform. Grow into agents that act.
Every industry follows the same path: analytical and knowledge agents first, then decision support, then workflow and customer-facing agents once trust is proven.
Pharma & Life Sciences
Regulatory submission assistant, rebate reconciliation, pharmacovigilance intake
Healthcare
Capacity analytics, clinical documentation summary, prior authorization
Banking
Relationship manager prep, AML alert investigation, KYC onboarding
Financial Services
FP&A variance commentary, research summarization, close and reconciliation
Insurance
Loss ratio analytics, FNOL and claims triage, underwriting intake
Airlines & Aviation
MRO technical assistant, irregular operations recovery, disruption rebooking
Retail & CPG
Merchandising Q&A, demand and replenishment, customer service
Media & Entertainment
Audience and ad yield analytics, metadata enrichment, rights and royalties
Manufacturing
Maintenance troubleshooting, S&OP planning, quality deviation and CAPA
Energy & Utilities
Asset inspection assistant, outage and crew dispatch, regulatory filings
DomainIQ Agents by KPI Partners
Skip the build. Start with plug-and-play agents.
For common functional use cases, you do not need to start from a blank page. DomainIQ Agents are ready-to-deploy, domain-expert agents that save time, cost and effort, and go live in weeks when your data foundation is sound.
Each agent goes through the same Trust and Run phases as any agent in the journey, on Databricks, Snowflake, Azure + Fabric, AWS or Google Cloud.
Explore DomainIQ AgentsProcureIQ
ProcurementAgents that optimize payment terms, capture volume-tier discounts, benchmark supplier terms and prepare negotiation-ready summaries.
RebateIQ
ProcurementAgents that calculate, validate and reconcile complex rebate and incentive programs, with no leakage and full lineage.
SupplyChainIQ
Supply ChainAgents that sense demand shifts, flag supply risk early and draft the response for planners to approve.
BenchmarkIQ
FinanceAgents that benchmark cost, performance and process against peers and your own history, on demand.
ClaimsIQ
FinanceAgents that intake, adjudicate and summarize claims with policy-grounded reasoning and human-in-the-loop control.
ProposalIQ
SalesAgents that draft proposals, assemble account intelligence and keep the CRM current from every touchpoint.
HRIQ
HRAgents that resolve policy questions, screen and summarize candidates, and route cases with a full audit trail.
Your function
Marketing, Legal, IT, Customer Service and more are on the roadmap. Tell us the use case and we build the accelerator with you.
Request an acceleratorWhy KPI Partners
Agents are only as good as their data. Data is where we started.
A data, analytics and AI consultancy since 2006: 600+ consultants and 300+ enterprise customers, with offices in the US, India, Mexico and London.
See outcomes across industries- Minsky Award for Excellence in AI Strategy Consulting
- CIO Times: Fastest-Growing Analytics & AI Companies Driving Business in 2026
- AIM Best Firm for Forward Deployed Engineers
- Contender, ISG Provider Lens Databricks Ecosystem Partners (Global, April 2026)
- Great Place to Work certified six times in a row
Find your first production agent in four weeks.
The Agent Readiness Sprint ranks your candidate agents, sets the guardrails and builds the business case on the platform you already run. Already have agents live? Ask for an Agent Health Check.