AI Readiness Assessment
Know your real starting point before you spend a dollar on AI.
Same diagnostic our paying clients buy, packaged as a fixed 2-week sprint.
In plain English.
A fixed two-week diagnostic that scores how ready your business actually is to adopt AI across data, tooling, team, process, and governance. It's the same assessment we run at the start of every major engagement, packaged as a standalone sprint with a go/no-go recommendation.
We look at your real systems, including the state of your data in Snowflake or Postgres, your CRM hygiene in Salesforce or HubSpot, and your engineering capacity, then grade you against a benchmark of where AI-native operators in your industry sit.
You walk away knowing your honest readiness score, the three things blocking you, and whether your next dollar should go to a pilot, a data foundation, or enablement. No fluff, no upsell pressure, just a clear-eyed starting point.
When you need this
- You want a baseline before committing budget to any AI initiative.
- Leadership disagrees on whether you're 'ready' for AI and you need an objective read.
- A vendor or agency is pitching you and you want an independent readiness check first.
- You suspect data or process gaps are the real blocker but can't prove it.
The deliverables, plainly stated.
- Readiness scorecard across data, tooling, team, process, and governance
- Benchmark against AI-native operators in your industry
- Top three blockers ranked by impact and effort to fix
- Go/no-go recommendation with the single best next investment
- Data and CRM hygiene review across Snowflake, Postgres, Salesforce, or HubSpot
- A 60-minute findings readout with leadership
Typical duration
2 weeks (fixed)
Investment band
$Entry investment
We scope in bands, not fixed numbers. Final pricing follows a quick scoping call.
A process built for this service, not a generic playbook.
- 01
Scoping call
We confirm which systems and teams to assess and set up read-only access to your data and stack where useful.
- 02
Audit the five dimensions
We score data, tooling, team, process, and governance, inspecting real systems like Snowflake, Salesforce, and your CI pipeline rather than relying on a survey.
- 03
Benchmark and grade
We place you against an industry readiness benchmark and identify the blockers that matter most.
- 04
Recommend the next dollar
We deliver a scorecard and a go/no-go call, naming the single highest-leverage next investment.
Team composition
A strategy lead and a data engineer run the diagnostic, with a solutions architect reviewing tooling and integration readiness.
Tools & frameworks
- Native Bridge AI readiness scorecard
- Snowflake / Postgres data audit
- Salesforce and HubSpot hygiene review
- Industry readiness benchmark set
What we tie this engagement to.
Every engagement carries a revenue-tied KPI. These are the outcomes this service typically anchors on.
An objective readiness score across five dimensions
A ranked list of the three blockers to fix first
A confident go/no-go decision on your next AI investment
Works with your stack
We deliver AI Readiness Assessment inside the tools you already run.
AI Readiness Assessment: common questions
What is an AI readiness assessment?
It's a fixed two-week diagnostic that scores your business's readiness to adopt AI across data, tooling, team, process, and governance, then gives a go/no-go recommendation and names the single best next investment.
How long does the assessment take?
Two weeks, fixed. About three days of scoping and access setup, a week of auditing your systems, and a few days to benchmark, grade, and prepare the findings readout.
What does the assessment cost?
It's our lowest cost band ($), a fixed-fee sprint designed so you can establish a baseline before committing larger budget.
Do you need access to our systems?
Read-only access to your data warehouse (Snowflake or Postgres) and CRM (Salesforce or HubSpot) makes the audit far sharper, but we can scope a lighter, interview-led version if access takes time to arrange.
What happens after the assessment?
You receive a scorecard, a ranked blocker list, and a go/no-go call. From there clients typically move into use-case discovery, a data foundation engagement, or a 30-day pilot, but there's no obligation to continue.
Often paired with this.
Ready to put AI Readiness Assessment to work?
Tell us where you are and we'll tell you what's blocking revenue.