STEP 1 OF 4

Data Readiness: the foundation everything else runs on

Data readiness means your business data is clean, connected, and structured enough for reporting, automation, and AI to work. Emendo's Data Readiness Sprints (2–6 weeks, from $6,000 + GST) consolidate SME data from spreadsheets, email, and disconnected systems into a single reliable source of truth.

Why do most SME AI projects fail?

Because the data isn't ready: AI vendors walk away from 30–50% of SME prospects due to messy, siloed, or missing data. The failure pattern is nearly always one of four things:

Siloed, inconsistent customer data

Duplicates, dead contacts, missing fields, three versions of the same customer across three systems.

No central knowledge base

The answers live in people's heads and old email threads. Nothing an AI, or a new hire, can use.

Undocumented processes

Work gets done, but nobody can say exactly how. Nothing to automate, nothing to hand over.

Systems that don't talk

Quoting, jobs, invoicing, and marketing each hold a piece of the truth. No single source of it.

What we actually do

  1. System discovery and mapping. Every system, every export path (CSV, API, PDF, email), every key field: customer, quote, job, invoice, profit.
  2. Data staging. Automated pulls into a secure landing zone. Raw copies preserved untouched, so everything is auditable.
  3. Cleansing and normalisation. Deduplication, malformed rows fixed, names, addresses, and product descriptions standardised, AI-assisted classification for missing categories.
  4. Customer master creation. One record per customer, linked across quotes, jobs, invoices, and profit. Your single source of truth.
  5. Immediate insights. ABC segmentation, profitability by customer, stale-customer report, lost-quotes list. In the first sprint, not year two.

Deliverables

AI-ready customer database

Clean, de-duplicated, unified.

Knowledge base & FAQs

Your institutional knowledge, captured and structured.

Documented processes

Workflows mapped and easy to follow.

Governance starter kit

Practical rules that keep data clean after we leave.

Integration & dashboards

Systems connected, performance visible.

Action plan for AI

Clear next steps to capitalise immediately.

What data does a business need before adopting AI?

Five things: clean CRM records with one current profile per customer; a maintained knowledge base of FAQs, procedures, and product information; historical service and sales records that show how questions actually get asked and resolved; documented workflows and decision rules an AI can follow; and accessible transaction data (orders, inventory, jobs) the AI can read and act on. If any of the five is missing, fix it before buying the tool, not after.

Then what?

Clean data is step one of four. With the foundation in place, automation stops being fragile, because it finally has reliable inputs. And there's a longer payoff most owners miss: clean, reconciled data is a due-diligence asset. Buyers trust numbers they can verify.

Sprints from $6,000 + GST · Ongoing Data Care from $1,500 + GST/month

Start here

The Business Readiness Audit

$1,990 inc GST

Fixed price. Two weeks. Written scorecard and roadmap. Fee fully credited toward any engagement commenced within 90 days.

The Audit scores your data across every system and prices the sprint before you commit a dollar.

FAQ

Questions owners ask

What is data readiness?

Data readiness means a business's data is clean, connected, and structured enough for reporting, automation, and AI to work reliably: one record per customer, linked quotes, jobs, and invoices, a maintained knowledge base, and documented processes. Without it, automation amplifies mess and AI produces confident nonsense.

How much does a data readiness project cost for an SME?

Emendo Data Readiness Sprints run 2–6 weeks and start from $6,000 + GST, with most SME projects landing between $6,000 and $25,000 depending on system count and data volume. The $1,990 Business Readiness Audit produces a fixed quote before you commit.

How long does it take to get our data AI-ready?

Most SMEs reach a working single source of truth in a 2–6 week sprint: systems mapped, data staged, cleansed, and consolidated into a customer master with first insights delivered. Larger multi-system environments run as staged sprints.

Do we need new software?

Usually no. We work with your existing systems and connect them. Where a structured platform is genuinely needed, Emendo is the only certified Quickbase Solution Provider in Asia Pacific, and we stay vendor-agnostic everywhere else.

Is our data secure during the project?

Yes. Data is staged in access-controlled, Australian-hosted storage, raw copies are preserved untouched for auditability, and sensitive fields are masked before any AI-assisted processing runs. Handling rules are agreed in writing before work starts.