Now booking · Q3 2026 cohort

Reshoring,
through AI.

Take back control and unleash productivity. Obviate offshore resources with an AI-enabled workforce.

Book a discovery call → Read the thesis
You offshored ten years ago because the math worked. The math no longer works.
— The shoreward thesis, in one sentence
2005
Onshore
Ten engineers, one timezone. The math worked.
2015
Offshored
Three onshore, ten offshore. More headcount, less control.
2026
Reshored, AI-augmented
Two engineers + agents. The math works again.
§ 01 · Thesis
The control equation

Cheap stopped being safe.

A distributed army of contractors was a fair trade when it saved half the budget. With AI closing the cost gap, you’re paying for exposure, and delay, you no longer need to accept.

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The trade-off is gone. Keep the control.

Then versus now: the offshore army against the reshored team with AI
Then THE OFFSHORE ARMY Topic Now RESHORED + AI
Code and know-how spread across vendors and jurisdictions. IP Stays inside your company and your legal system.
Hundreds of external accounts with access to production. Security A small team you vetted, plus agents you can audit.
Walks out with attrition; re-learned on every rotation. Knowledge Held by people who stay, and written down as they work.
Status reports and burn-down charts, a week late. Visibility Progress you can see as it ships, in your timezone.
Accepted for 50–70% savings1. Cost At or below the offshore total, without the exposure.1

Where the weeks actually go

Before · Offshore team 7 weeks1
Spec Hand-off & questions Build Review & rework Ship
After · Reshored + AI 8 days1
Spec Build with AI Ship

See what your roadmap looks like reshored.

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1 Estimates based on previous Shoreward client engagements.

§ 02 · Why now
Three forces, aligned

A narrow window when three forces point the same direction.

01

The AI productivity step-change.

Autonomous coding agents, AI review, and agentic workflow runners are now in production — not demos.

Reported gains
30–55%
02

Mounting offshore frustration.

Attrition, escalating bill rates, and quality complaints have eroded the original cost case.

Top-vendor attrition
25–35%
03

Regulatory tailwinds align.

Data residency, third-country processor scrutiny, and a protectionist policy turn all push the same direction.

Vendor-risk reviews
2× longer
§ 03 · Offerings
Two paths, one motion

Train your team, or do it for them.

Offering A · Consulting + enablement

The Reshoring Playbook

Fixed-scope, 12–20 weeks. Your team absorbs the work.

  • Assessment + target operating model — every workstream mapped: reshore, retain, or eliminate.
  • Technical enablement for 4–10 internal employees: tool selection, agent design, QA, guardrails.
  • Transition plan, runbooks, and a 6–12 month advisory retainer.
Offering B · Managed service

Reshored Teams as a Service

A pod replaces an offshore unit. We commit to delivery SLAs.

  • One senior AI-augmented engineer + fractional team lead per pod.
  • 6-month minimum, 30-day rolling thereafter — bound to the offshore baseline being replaced.
  • Pre-priced expansion to 2, 3, 5 pods in-contract — no future renegotiation.
§ 04 · How it works
A low-risk first commitment

Discovery, paid assessment, then the choice point.

Stage 01

Discovery

60-minute working session. Produces a one-page reshoring opportunity sketch — TCO comparison, candidate workstreams.

Duration60 minutes · No cost
Stage 02

Paid assessment

Formal target operating model and transition plan. The critical commitment moment — internal political cover.

Duration4–6 weeks
Stage 03

Choice point

Choose Offering A (we train), B (we do), or hybrid. Presented neutrally — fit-driven, not bait-and-switch.

Decision1–2 weeks
Stage 04

Pilot, then scale

One pod, 90 days, defined success criteria. Pre-priced expansion to 2, 3, 5 pods — locked in-contract.

Pilot90 days
§ 05 · By the numbers
The math, plainly

What a pod actually replaces.

4–10×
Throughput multiplier
An AI-augmented employee vs. an offshore squad on like-for-like work.
Priced on request
Monthly pricing
Senior engineer, fractional lead, AI tooling, customer success, G&A — fully loaded.
30%
Steady-state pod margin
Productivity compounds with customer-specific context over the first 6–9 months.
90d
Pilot, then expansion
Pre-priced 2, 3, 5-pod expansion locked in-contract. No renegotiation.
§ 06 · FAQ
The honest answers

Questions we always get.

01
Is "4-10×" a real number or a marketing number?
+
A real number, with caveats. It's the throughput ratio of a senior employee running a modern agentic stack against a typical 4+ person offshore squad on comparable feature work. It does not hold for every problem, however. The more antiquated your process & systems, the lower the initial ROI. In the wild we have seen 10x improvements in end-to-end productivity (time/effort from ideation to finished execution)
02
Won't the offshore vendors just adopt AI and undercut you?
+
Incumbents face an awkward internal narrative and execution to this new model. Many shops price projects per head and spent years convincing you that you need more people. It will take them multiple years to pivot into a more efficient model. The 24–36 month window assumes they may catch up; but will drag their heels in the process. Whilst some companies may take this 'relaxed' approach, competition will increase from forward thinking competitors as well as nimble startups who can compete against you in a short timespan.
03
Why do you offer both consulting and managed service?
+
Because customers have different anxieties. CTOs who want to own the capability internally choose the playbook. CFOs who want a clean line-item replacement for an offshore vendor choose the pod. Presenting both, gives companies a clear choice: (a) invest in growing onshore employees and own that capability in-house, vs. (b) quickened execution with a proven playbook. Having in-house expertise takes time to grow, but may be a preferred model for some companies.
04
What's the smallest engagement you take?
+
We offer 30 minute introduction to gauge a potential fit from both sides. You want quality partners, and we want clients whose goals match our capabilities. Beyond the introduction, we typically prefer 50+ employee companies all the way to enterprises. Typically smaller companies don't have the base technology spend nor complexity to warrant our services. After matching, we perform a paid assessment that enables us to understand your business and make informed recommendations how to improve your return on technology spend. Once a client has decided which approach to take on, we aim to complete a 90 day pilot before committing to longer term contracts.
05
Who is shoreward.ai for?
+
Ideally firms with $50M–$2B revenue, with an established offshore engineering relationship of $1M+ annual spend.
06
Why pilot?
+
We believe piloting makes theoretical issues and solutions more tangible. This new world of AI is evolving fast and a pilot enables company leaders to learn how to benefit from this new capability as well give you the confidence to believe you can unlock long term ROI from shoreward.ai
Get in touch

Let's run the
numbers on your
offshore line.

A 60-minute working session. We map your workstreams, run the TCO, and tell you honestly whether it makes sense.

Book a discovery call →