Software adoption for Ghana mining and construction
Anyone can ship software. We ship adoption.
Operations software lives or dies on whether the field actually uses it. That is the one thing a features list cannot fake, and the discipline we build around. Captured at source.
Darikoda is operational intelligence built for adoption in Ghana mining, construction, civils and plant hire. Most operations software fails on the rollout, not the features. Darikoda is designed to meet the operation where it is: offline through dumsor, two-tap PIN and kiosk capture at source, no clean-data precondition, and a paid Build and Activation step that is readiness-gated so you move forward as it proves out. Your operational data stays inside your operation.
The graveyard
The number you bought it for never arrives.
The story is always the same. You buy big and top-down. The rollout runs long and over budget. The field never adopts it. And the one number you bought it for never arrives. Elsewhere, operators could not count their own inventory or track their own raw materials, and the loss ran into the tens of millions.
The recognisable line, the one an operator will nod at: two years in and it still cannot tell us our true cost per machine.
What is left is shelfware, plus scar tissue that poisons the next attempt. You did not buy shelfware on purpose. You bought a rollout the crew never picked up.
70%
of digital transformations fall short, on adoption not features.
McKinsey
Half
of software licences go unused, over a fifth pure shelfware.
Vertice
42%
makes construction the second most technology-resistant industry.
Yooz 2025
23%
of frontline workers feel they have the tools to do the job.
Frontline research
Figures are external and citable, attributed to their origin. The failure is about people, not code, and it is worst exactly where heavy-fleet operators work.
The rollout is won at the edge, not the head office.
Adoption happens where site meets office. Build for that seam and the record gets used. Ignore it and the software becomes shelfware.
The specialization
We treat adoption as a discipline, and resource it like the product.
Two things win adoption in the field, and neither a features-list competitor nor a paper-and-WhatsApp status quo can claim them.
Lead asset one
Field-fit.
The best Western systems land on a Ghana site and simply do not work. They assume reliable power, a desk, clean master data, and office literacy. Ours is built for the opposite.
- OFFLINE FIRST. Built for dumsor. A pit with no signal for a full shift keeps running and syncs clean when the signal returns.
- PIN AND KIOSK. Two-tap capture at source on shared, gloved-hand devices. Every event attributed to a person, no shared logins.
- NO CLEAN-DATA PRECONDITION. Messy data is the designed starting point. You do not tidy years of records before the field can begin.
- FLAG, DO NOT ACCUSE. The system surfaces the gap without blaming the person who logged it, so the crew keeps using it.
Lead asset two
Skin in the game.
We are paid on the value the system provably delivers, in your own numbers. Most vendors cannot say that. It is the sharpest signal that making adoption work is our problem too, not a box we tick at handover.
This is a philosophy, not a price. We do not win unless the record gets used and the value shows up where you can see it. That is the whole point of building for adoption.
The rollout, productized so it is owned.
Paid Build and Activation
We configure the operating record to how your operation actually runs and field-test it on real devices, timed to your fleet, not a fixed clock. It kills free consulting and de-risks the decision.
Readiness-gated
The pilot clock and the next fee do not start until a jointly signed readiness sign-off. You pay as it proves ready, not before.
Bounded and yours
Nothing to unwind, and your data is always yours and exportable in full. Low switching fear, by design.
Augments your ERP
No rip and replace, no integration project. It feeds your accounting the per-machine truth it cannot produce on its own.
Champion-led enablement
On-site training where the crew works, a Day-1 baseline ritual, and a champion who owns adoption from the inside.
How the rollout runs
Five beats from bought to adopted.
- 01
The problem, quantified.
Around 70 percent of these rollouts fail, on adoption not features. A rollout backed by real change management is seven times more likely to succeed, 88 percent against 13 percent (Prosci). We start by naming the real risk.
- 02
A bounded go-live.
One quick win first, then widen. The go-live is readiness-gated, so the clock starts when a jointly signed sign-off says the operation is ready, not on a fixed calendar date.
- 03
Built for the field.
Offline through dumsor, PIN and kiosk on shared devices, two-tap capture at source, no clean-data precondition, and flag do not accuse. The field can actually use it on day one.
- 04
On-site enablement.
Trained where they work, with local support and a champion inside your operation who owns adoption. It is instrumented and owned internally, not chased by the vendor.
- 05
Skin in the game.
We are paid on the value the system provably delivers, in your own numbers. Adoption is our problem too, because we do not win unless the record gets used.
The honest part
What we can prove, and what we still owe.
This is a design and methodology claim, and we will not dress it as more. Darikoda is built for adoption. It is offline-first, capture-at-source, PIN and kiosk, flag not accuse, readiness-gated, and it augments your ERP rather than replacing it. Every one of those is real and verifiable in the architecture today.
What we do not claim is a field track record we have not earned yet. The flagship mechanic, offline field-sync on a rugged device through a real signal drop, is architecture-verified and its field proof is still owed. We would rather tell you that plainly than sell you a case study that does not exist.
The reason to be early is the access and the founding-customer terms, and the chance to be the operation whose results we publish first. First published results are targeted for later this year.
Adoption questions, answered plainly.
Why would Darikoda adopt where other systems failed?
Because it is designed for the failure mode that kills the others. Offline through dumsor, PIN and kiosk two-tap capture at source, no clean-data precondition, and flag do not accuse. The field can use it as their site already works, so they keep using it.
Do we have to clean our data before we start?
No. There is no clean-data precondition. Messy data is the designed starting point. The system surfaces the gaps at source as you go, rather than demanding a tidy history up front.
Does it work when the power and the signal drop?
Yes. Every field write saves on the device first and syncs when the signal returns. A pit with no signal for a full shift runs full operations and syncs clean afterwards.
What is Build and Activation?
A paid month where we configure the operating record to how your operation actually runs and field-test it on real devices, timed to your fleet. It is readiness-gated, so the pilot clock starts only once a jointly signed readiness sign-off confirms the operation is ready.
Do we have to replace our ERP?
No. Darikoda augments your ERP rather than replacing it. There is no rip and replace and no integration project. It feeds your accounting the per-machine truth it cannot produce on its own.
See it built for your own operation.
Free 30-minute audit on WhatsApp. A one-page leakage map, and a straight answer on whether the rollout would stick. You keep the map either way.
Failure statistics are drawn from published industry research and attributed to their origin. Design and methodology claims describe how Darikoda is built. No specific operator is named or identifiable.