AI strategy → production

AI consulting that turns strategy into shipped systems, not slide decks

We give you the AI roadmap and the dedicated team that builds it. One accountable partner, from the first readiness audit to a system in production that moves your numbers.

No AI in place yet, or pilots that stalled before production? You're in the right place, we build from zero and rescue what didn't ship.

TRUSTED BY TEAMS THAT SHIP

Click any platform to read verified customer reviews.
The GenAI divide

Why most AI investments never reach the P&L, and how to be in the 5% that do

Most AI consulting ends at a deck. You get an impressive roadmap, then you're left to find someone to build it, and the build is where it dies. 10Turtle closes that gap: we do the strategy and the engineering under one roof, so the plan you approve is the plan that ships.

MIT's 2025 State of AI in Business study analysed 300+ deployments and found that roughly 95% of generative-AI pilots delivered no measurable impact on profit and loss. Only about 5% reached production with real value. The cause wasn't model quality. It was integration: AI that never connected to real workflows, data that wasn't ready, and governance bolted on too late.

The same research found teams that partnered with the right external builder were about twice as likely to reach production, while purely internal builds failed roughly twice as often. The deciding factor isn't budget or ambition. It comes down to whether strategy and execution live in the same hands.

The fork in the road.

Strategy-only firms hand you a roadmap and walk away. Build-only shops ship something clever that solves the wrong problem. 10Turtle is the third option: one partner that owns the thinking and the building, so nothing falls through the gap between them.

0%
of GenAI pilots show no measurable P&L impact
~0%
reach production with real value
0×
more likely to scale with the right partner
Two ways in

Two ways in. Same outcome: AI in production, measured.

There are only two starting points for AI, and we're experts in both.

Door one

Build from zero

No AI in place, or scattered experiments with no plan. We start with a readiness audit, surface the use cases with the clearest ROI, and give you a sequenced roadmap, then build the first production win. You move from "we should do something with AI" to a working system, deliberately and safely.

Fresh-start opportunity assessment
Door two

Rescue & re-strategise what stalled

You've run pilots that never reached production, or inherited AI that no one trusts. We audit what exists, diagnose why it stalled (almost always data, integration, or governance, not the model), and re-architect it into something that ships and scales. We are experts in redesigning and re-automating AI that didn't work the first time.

Stalled-pilot diagnostic
One outcome: AI in production, measured

Each door has its own audit, a fresh-start opportunity assessment, or a stalled-pilot diagnostic, but it's one expertise expressed two ways, not two separate services.

Services

Decide where AI fits, plan it, and govern it, before you build.

We are the advisory layer for your AI: we assess readiness, prioritize use cases, choose the right generative or agentic approach, and put governance and skills in place, then hand the build to the right team. Choose the capability you need to start.

AI Strategy and Roadmap Consulting

A sequenced, costed AI roadmap that prioritizes use cases and sets the operating model to reach production.

AI Readiness Assessment

An honest AI readiness assessment that scores your maturity and surfaces the gaps to fix before you invest.

Generative AI Strategy Consulting

Generative AI strategy: where it fits, which models to use, and how to deploy it securely.

Agentic AI Strategy Consulting

Agentic AI strategy: where autonomous agents create value, how to control them, and whether to build.

AI Governance and Responsible AI Consulting

AI governance and EU AI Act readiness: an AI inventory, risk classification, policy, and human oversight.

AI Training and Enablement

Role-based AI training and literacy that gets your whole team using AI safely and well.
05One accountable partner

One accountable partner. A dedicated AI team that strategises and ships.

The unique advantage isn't "we do everything." It's that strategy and engineering never change hands. You get one accountable partner under one roof, with a dedicated AI team for this work, strategists who understand your P&L sitting beside engineers who write the production code.

That means no handoff gap between the firm that wrote your roadmap and the shop that has to build it. No white-label markup, no outsourcing your most sensitive data to a fourth party, no "that wasn't in our scope." The people who promise the outcome are the people who deliver it.

Strategy + build, same teamThe roadmap is written by people who will own its execution, so it's realistic on day one.
Dedicated AI specialistsNot generalists moonlighting on AI. A team focused on getting AI to production.
Transparent, milestone-basedFixed-fee discovery and milestone delivery with documented deliverables at every stage, you always know what you're buying.
Dedicated AI strategists and engineers collaborating under one roof
Dedicated 10Turtle AI strategists and engineers collaborating in one room on an AI roadmap and codebase.
06How it runs

How an AI engagement runs with 10Turtle

A clear, milestone-based path from "should we?" to "it's live and paying off." Every stage has documented deliverables you can hold us to.

01
~1–3 weeks

Readiness audit & discovery

We assess your data, systems, governance and goals, and pinpoint where AI creates measurable value. You leave with a readiness scorecard and a shortlist of high-ROI use cases.

02
~2–6 weeks

Strategy, roadmap & business case

We prioritise use cases on value and feasibility, design the target architecture, model the ROI and sequence the work, quick wins first, data foundations alongside. Output: an approved roadmap and budget.

03
~2–6 weeks

Proof of concept

We build a focused POC against the top use case to prove value before you scale, with success metrics agreed up front.

04
scoped per use case

Production build & integration

We engineer the validated solution into your stack with MLOps, security, monitoring and governance baked in, the step where most pilots die, and where we specialise.

This is the GenAI Divide, where ~95% of pilots stall. It's what we're built to get past.
05
ongoing

Adoption, support & scale

We train your people, name internal owners, monitor for model drift and retrain as needed, and reduce your dependency on us over time, not increase it.

A realistic first milestone for a mid-market team is one measurable improvement on one process within ~90 days, for example, cutting a manual processing cycle in half. We design for that, not for a year of slideware.

07Defensible AI

AI you can defend to your board, your regulator and your customers

AI now arrives with rules. Governance isn't a slide at the end of the project, it's how we design from the first day, so you can scale without a compliance crisis.

EU AI Act (Regulation (EU) 2024/1689)

A risk-based law with real penalties, up to €35M or 7% of global turnover at the top tier (for prohibited practices). High-risk obligations apply from 2 August 2026. We classify your systems and build the documentation, logging and human-oversight controls the Act requires.

*Date & penalty tier pending owner verification

NIST AI RMF

We structure risk management around Govern, Map, Measure and Manage, the vocabulary regulators and procurement teams now use to judge AI maturity.

ISO/IEC 42001:2023

The first international AI management-system standard, and certifiable. We help you build a program that's auditable and defensible, not improvised.

GDPR · data-protection by design

Lawful, transparent automated decision-making, with privacy controls and data-subject rights handled at the architecture level.

08Ways to engage

Flexible ways to engage, priced on outcomes, not hours of slideware

You don't have to buy a year-long transformation to start. Pick the model that fits where you are.

Best for · First step / proving the case

AI readiness assessment

A fixed-scope sprint that delivers your readiness scorecard, opportunity matrix and a prioritised roadmap. Defined deliverables, defined timeline, usually a few weeks.

What's in it

We scope every engagement to a clear outcome with defined deliverables and boundaries, so cost maps to value. Your free audit ends with a recommended model and an honest scope, including telling you if you should fix data foundations before spending on models.

09By sector

AI consulting tuned to your sector's data, risk and stakes

The right use cases, and the governance bar, differ by industry. We bring sector-specific judgement, not a generic playbook.

Not listed? Our process starts by understanding your operations, not by pushing a tool. The audit is where we map AI to your economics.

09

AI work that reached production, and moved a number

10

What working with our AI team is like

Platforms we build on

Peer partnerships across the platforms we build on

Security & AI governance

How we build, and what we make defensible for you

Security and AI governance are how we build, and a service we deliver. We hold ourselves to recognised standards, and we make your AI defensible against the same.

ISO 27001*Information security
SOC 2*Trust & controls
ISO/IEC 42001*AI management system
NIST AI RMFAligned (readiness)
EU AI ActReadiness (not a cert)
WCAG 2.1–2.2 AAAccessibility
GDPR · CCPAData protection
PCI DSSReadiness

* Certifications marked with an asterisk are representative and pending owner verification. NIST AI RMF and EU AI Act are framed as alignment / readiness, not certifications.

Questions, answered

AI consulting, your questions, answered plainly

AI consulting services help an organisation decide what AI to adopt and then make it work in practice. A complete engagement covers a readiness assessment, use-case prioritisation, an AI strategy and roadmap, data and governance foundations, building a proof of concept, taking it to production, and supporting adoption. 10Turtle delivers both the strategy and the engineering under one roof, so the roadmap and the system that delivers it never change hands.

MIT's 2025 State of AI in Business study found roughly 95% of generative-AI pilots delivered no measurable profit impact, and only about 5% reached production with real value. The cause is usually not the model, it's poor integration into real workflows, data that wasn't ready, and governance added too late. The same research found that teams who partner with an experienced external builder are about twice as likely to reach production.

AI consulting decides what to build and why; AI development builds it. The expensive failure mode is splitting them, a strategy firm hands you a roadmap and leaves, or a dev shop builds something that solves the wrong problem. 10Turtle does both with one accountable team, which removes the handoff gap where most AI initiatives die.

A focused AI readiness assessment is typically a few weeks; a full strategy and roadmap commonly takes about 4–12 weeks depending on your size, data maturity and use-case complexity. We work in milestones so you see documented deliverables at each stage rather than waiting months for a single report.

Cost depends on scope, data maturity and outcomes. We price on value with clear, defined deliverables, and offer fixed-scope readiness assessments, milestone-based project engagements, advisory retainers, and fractional AI leadership. Your free audit ends with a recommended model and an honest scope, including telling you if you'd waste budget building on data that isn't ready yet.

If you can't answer basic business questions from your existing data within a day, you likely need data-readiness work before model-building, otherwise a consultant spends your budget cleaning data instead of delivering AI. Our readiness audit tells you exactly which you need, in plain terms.

Both. Strategy that we can't (or won't) build isn't strategy, it's a document. Our roadmap is written by the people who will execute it, and we take use cases from POC through to a production system with monitoring and support.

Yes, it's one of our core strengths. We audit what exists, diagnose why it stalled (almost always data, integration or governance, not the model), and re-architect it into something that ships and scales. We're experts in redesigning and re-automating AI that didn't work the first time.

We design governance from day one and build one program mapped across NIST AI RMF, ISO/IEC 42001 and the EU AI Act, plus GDPR data-protection by design. High-risk EU AI Act obligations apply from 2 August 2026, with top-tier penalties reaching €35M or 7% of global turnover (for prohibited practices), we get you classified, documented and defensible ahead of the deadline.

AI is not set-and-forget. We monitor for model drift, retrain as needed, and train your internal owners, with the explicit goal of reducing your dependency on us over time, not increasing it.

We define where LLMs and autonomous agents genuinely fit your workflows and where they don't. Agents are moving fast into core enterprise apps, but governance and data quality are the top blockers, so we design the oversight and orchestration that let you adopt the frontier without inheriting its risk.

Book a free AI readiness audit. You'll get an honest read on where AI can pay off for you, the highest-ROI use cases, and a recommended way to engage, with no obligation.

Sources. Key figures on this page are drawn from MIT NANDA, "The GenAI Divide: State of AI in Business" (2025), and the EU Artificial Intelligence Act, Regulation (EU) 2024/1689. Statistics are paraphrased; refer to the primary sources for exact methodology and the current legal text.

Start here

Get an honest read on where AI can pay off for you

Book a free AI readiness audit. You'll get the highest-ROI use cases, where you're ready and where you're not, and a recommended way to engage, with no obligation.

No obligation · honest scope · we'll tell you if you should fix data foundations first.