Playbooks
How to Use AI to Increase Sales — Without Growing Headcount
Most sales teams point AI at activity and get no pipeline lift. Here is where AI actually moves revenue, where it erodes trust, and what to measure.
May 28, 2026 · 9 min read
Custom AI Solutions
When the tool you need doesn't exist, we build it.
Custom AI systems for the problems off-the-shelf tools can't reach — designed and delivered by a global network of experts.
Most AI problems are best solved with existing tools, and we'll tell you when yours is one of them. But some problems sit too close to the core of how you compete — the workflow nobody else runs, the dataset nobody else holds. Those deserve to be built, not bought.
We design and deliver custom AI systems through a global network of specialists — engineers, researchers and domain experts assembled for your specific problem, so you pay for the exact expertise it needs rather than whoever a large firm has on the bench. A network of experts. A record of the improbable.
Every build starts with a feasibility stage that is allowed to say no. If the system can't be built reliably at a cost that makes sense, you find out in weeks — not after a year of invoices.
Who this is for
- Founders and product leaders whose differentiating idea doesn't map to any off-the-shelf product.
- Operations leaders with a high-cost workflow specific enough to defeat generic tools.
- Organizations sitting on proprietary data that could power a system nobody else can replicate.
What we do
What you get.
Feasibility and design study
A short, fixed-price stage that tests the riskiest assumptions against your data and produces a system design, a costed delivery plan and an honest build or no-build recommendation.
The system itself
Production software, engineered and tested — model pipelines, integrations and interfaces — built to run in your environment and owned by you.
Documentation and handover
Architecture documentation, runbooks and training, so your team can operate the system without depending on us.
Support and iteration plan
An agreed arrangement for monitoring, model updates and the improvements that real usage suggests.
How it works
The engagement, step by step.
- 01
Discovery call
We hear the problem and ask the awkward questions early. Often a custom build isn't warranted — and when it isn't, we'll point you at the cheaper path.
- 02
Feasibility study
Two to four weeks testing the hardest technical assumptions against your data, ending in a design, a costed plan and a recommendation you can take either way.
- 03
Build and delivery
We assemble the right specialists from our network and deliver in working increments you can use and critique — not a single reveal at the end.
- 04
Handover or retained iteration
Your team takes the system over with full documentation, or we stay engaged to operate and extend it as usage grows.
Outcomes
What changes for you.
- A system shaped to your workflow and your data, not the closest available approximation.
- Risk retired early, in a fixed-price feasibility stage rather than mid-build.
- Intellectual property you own outright, with documentation your team can operate from.
- A capability your competitors can't buy off a shelf.
Questions
Asked often, answered honestly.
Who is this for?
Organizations whose problem — or whose ambition — genuinely outruns what existing products can do. That's a minority of the AI problems we see, and the discovery call exists to establish honestly which kind yours is.
Who actually does the work?
A small team assembled from our global network of specialists for your specific problem, led by a 4th Turning Strategy principal who is accountable for delivery end to end. You'll know everyone on the team by name.
How long does it take?
Feasibility takes two to four weeks. Builds typically run three to six months, delivered in working increments with the first usable slice well before the end. We give you a real timeline after feasibility, not before — estimates made earlier than that are guesses.
What do you need from us to start?
A clear problem owner on your side, access to the relevant data under NDA, and a willingness to hear 'don't build this' if that's where the feasibility study lands.
Related thinking
From the Insights desk.
Every turning rewards the prepared.
Tell us where you are. We will be candid about what comes next — whether or not we end up working together.