Spiga Consulting · Field notes

Applied enterprise AI, without the hype.

Real pricing, build-vs-buy math, and architectures that survive production — written by the team that ships them.

FIRST SYSTEMEXPANSIONENTERPRISEONE WORKFLOWSYSTEM OF SYSTEMSENTERPRISE PROGRAMRETURN COMPOUNDS WITH SCOPE →SPIGA CONSULTING
Pricing

How Much Does an Enterprise AI Agent System Cost in 2026?

What actually determines the cost of a production AI agent system, how to calculate ROI before you commit, and the red flags that separate real systems from expensive demos — from a firm that builds them.

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LEVEL 01LEVEL 02LEVEL 03ChatbotrespondsRPAmoves dataAgent systemruns operationstools · rules · audit trailsSPIGA CONSULTING
Strategy

AI Agent vs. Chatbot vs. RPA: What Your Enterprise Actually Needs

Chatbots respond. RPA moves data. AI agent systems run operations. A decision framework for choosing the right automation tier — with costs, limits, and when each breaks.

6 min read
INGESTEXTRACTVALIDATEPOST TO ERPEXCEPTIONS → HUMAN REVIEW~$13 → $1–3 per documentSPIGA CONSULTING
Finance Ops

Intelligent Document Processing: Cut Invoice and Contract Handling Cost by 80%

How vision + LLM document pipelines extract, validate, and post invoices, contracts, and claims straight to your ERP — with policy checks, exception routing, and audit trails.

6 min read
INTENTENRICHRESEARCHOUTREACHMEETING3–5× pipeline per repSPIGA CONSULTING
Revenue

AI Sales Pipeline Automation: How Agent Meshes Deliver 3–5× Pipeline per Rep

Inside the Autonomous Revenue Engine: intent monitoring, account research, personalized multi-channel outreach, meeting booking, and CRM hygiene — run by an agent mesh, 24/7.

6 min read
Build in-houseSpecialist partner$400–700K / yrpriced per system — ownedfirst ship: Q3–Q4first ship: 4–10 weekshire 3+ engineersown the code outrightTHE HYBRID USUALLY WINS: SHIP NOW, HAND OVER LATERSPIGA CONSULTING
Strategy

Build vs. Buy: Hiring an AI Automation Agency vs. Building In-House

A 2026 decision framework: real costs of an in-house AI team vs. an agency engagement, the hybrid model that usually wins, and the questions that expose a weak vendor.

7 min read
Every call answered. 24/7.HUMAN: $5–12 / callAGENT: $0.10–0.30 / callSPIGA CONSULTING
Voice AI

AI Voice Agents for Business: Use Cases, ROI, and What It Takes to Ship One

Where AI voice agents actually work in 2026 — support lines, scheduling, qualification, collections — what they cost, and the engineering that separates production from demo.

6 min read
VALUE RETURNEDCOST (BUILD + RUN)PAYBACK: Q1–Q3Costs are paid once. Returns recur.SPIGA CONSULTING
ROI

How to Calculate AI Automation ROI (the Formula We Use With Clients)

A practical ROI formula for AI automation: labor cost, error cost, capacity value, and payback period — with a worked example you can run on your own workflow this week.

6 min read
ALL TICKETSemail · chat · voiceROUTINE MAJORITY → RESOLVEDinstant · 24/7 · from live systemsCOMPLEX → HUMAN + CONTEXTfull history attached · no repeatsSPIGA CONSULTING
Support

AI Customer Service Automation: Resolve the Routine Majority Without Growing Headcount

How AI customer operations desks resolve tier-one and tier-two tickets across channels, escalate with full context, and turn support from a cost center into a capacity multiplier.

6 min read
LEGACY ERPest. 2009 · no APIMODERN OPSstorefront · CRM · BIAGENTfiles · screens · emailNo migration required.EVERY ACTION VERIFIED + LOGGEDSPIGA CONSULTING
Integration

AI Agents for Legacy Systems: Automate What You Can't Afford to Replace

Your 15-year-old ERP isn't going anywhere. AI agents can operate it anyway — reading, writing, and reconciling across legacy systems without a rip-and-replace migration.

6 min read
Maps workflows before quotingDesigned exception handlingLeadership-visible audit trailYou own the code outrightSystems in production 1yr+12QUESTIONSSPIGA CONSULTING
Strategy

How to Choose an AI Automation Partner: 12 Questions That Reveal Everything

The 12 questions that separate production-grade AI partners from demo shops — covering discovery, guardrails, audit trails, code ownership, and the references that matter.

7 min read