Consulting

Right Shore AI Assessment

Input your offshore profile. We'll generate a quantified readiness assessment — the kind a consulting firm charges six figures to produce. Takes about five minutes.

Your data is used only to generate this assessment. It is not stored or shared.

This is an unbiased, independent review. The full AI prompt is available on request for complete transparency.

01 · About you

Used to surface relevant public context and pre-fill form fields. Only public information is used. Leave blank if you prefer not to disclose.

Complete verification to enable company lookup and report generation.

Primary concern (allocate 100% across the three areas)

Total: 100 / 100

02 · Company context

This affects which benchmarks apply to your situation. Company employees require different cost modeling than outsourced contractor rates.

03 · Offshore locations

Add one row per distinct offshore location. A location is a country or city where you have a meaningful concentration of IT staff.

Location 1

Work types performed here

04 · Workforce composition

Break down your total offshore headcount by role. Approximate figures are fine — these drive per-role AI absorption modeling rather than a uniform assumption. No need to match your location totals exactly.

Role total: 0

04b · Existing domestic IT capacity

Many organizations already operate a hybrid model — some IT work is onshore or US-based alongside the offshore team. This information prevents the model from assuming all home-based headcount must be hired from scratch, and determines whether you are transitioning to Home Shore or already partially there.

Full-time employees based in your home country who work on the same products / systems as your offshore team. Leave blank if none.

US-based contractors or staff-aug resources. Leave blank if none.

Helps determine which roles still need to be added vs. already covered.

05 · Spend & true cost profile

Most cost models undercount true offshore spend by 30–60% by capturing only the labor line. The more components you provide, the more accurate the TCO baseline — and the more credible the business case.

Enter your primary labor cost figure. Use the checklist below to specify exactly what it includes.

Affects salary assumptions in the home-based team cost model.

What does your stated spend figure include?

Check everything already captured in your number. Unchecked items will be estimated using benchmarks and labeled accordingly in the report.

Known additional annual costs not captured above (optional — improves accuracy)

Enter your best estimate. These are the most commonly missed costs in offshore TCO models. Leave blank and benchmarks will be used.

Flights, hotels, per diem for oversight

FTE cost of managers primarily managing offshore

Driven by offshore attrition rate

High impact

Missed opportunity & delivery delay impact

This is frequently the largest single cost in the entire model — and the one purely technical assessments miss. Revenue not realized or delayed because IT couldn't ship fast enough is a business-owned number, not an IT number. If your business stakeholders have a view here, it belongs in this assessment.

Your best estimate. Does not need to be precise — ask a business stakeholder if you're unsure.

06 · Application portfolio

These inputs drive wave planning, timeline credibility, and regulatory treatment in your assessment. Approximate percentages are fine.

Criticality mix (% of total portfolio — should add to 100)

Total: 0 / 100

Regulatory validation requirements (check all that apply)

Performance baseline (optional — when provided, these replace benchmark estimates with your actual data)

Leave blank if not measured

Leave blank if not measured

Leave blank if not measured

07 · Pain points

Check everything that resonates. The more you select, the more targeted the analysis.

08 · Anything else?

Add context that doesn't fit above — strategic pressures, board mandates, union considerations, prior failed attempts, etc.

Takes 20–40 seconds. The report is produced by AI and should be validated against your actual contracts and org structure before use in decisions.