AI applied to the business, not to the demo.
We help companies increase their operational efficiency with consulting and tailor-made AI solutions, covering the whole cycle: discovery, development and implementation. We design the strategy and stay to execute it alongside your team.
Everyone is already using AI. Few know what for, exactly.
The C-level is under pressure to show results with AI, and the usual answer fails at one of two extremes: consultancies that deliver a strategy and leave before execution, or technical vendors that multiply pilots with no connection to the business.
Use cases identified that never make it out of the Proof of Concept.
Teams carrying AI as a secondary responsibility, with no dedication and no formal role.
Nobody defined what can and can't be done with AI: no governance and no rules of use.
Development teams using AI without a framework that orders the lifecycle (SDLC).
Resistance and low real adoption, beyond the initial curiosity of a few teams.
And the market doesn't wait.
Every month that passes, your competitors gain an edge that's harder to close. While the internal initiative still has no clear objective, the competition is already taking use cases to production.
Scattered pilots, with no business KPI behind them.
The competition moves from POC to production.
Legal and Compliance stop everything for lack of governance.
The AI budget was spent with no measurable result.
The expensive part isn't starting late with AI. It's finding out too late that there never was a roadmap.
We design the AI strategy and stay to execute it.
We cover both the business vision that defines what to do and the engineering that puts it into production. We cover the capabilities that hold up a real AI transformation.
AI Solutions
Focused on the business problem: use cases taken from POC to production, measured against a real KPI.
AI Strategy
Assessment and a roadmap prioritized by business impact.
Intervened SDLC
A target model of the development cycle by phase with SDD + AI, with playbooks and evolution metrics.
Reverse engineering
We reconstruct the knowledge of undocumented systems before migrating or modernizing them.
Governance
Usage policies, a responsible AI framework, safeguarding of your code and data, audit logs.
Adoption
Cultural change, not one-off courses: AI literacy, role redesign and real adoption metrics.
Security
Continuous assessment and a curated catalog of tools. Secure vendor configuration.
AI COE
Leadership, operating framework and support team in a single package, with a hands-on start.
We're our own first client.
These are our numbers.
We apply this same practice inside Shifta before offering it. Our teams already work with an AI-augmented development cycle, and these are the metrics we measure on our own deliveries.
how much more the team
delivers per sprint today
how long a task takes
to reach the user
how many errors
reach production
Average results observed across AI-augmented deliveries.






We define the starting point together. And what comes next, too.
We start by understanding where you are today, taking nothing for granted. We review your use cases — including the pilots that never reached production — your current governance and your level of adoption, and we give you a prioritized recommendation. The same team that runs the assessment is the one that executes afterwards.
From there the model scales without breaks: from a leadership COE to end-to-end implementation squads.
FAQ
Where should we start: strategy, a use case or governance?+
With a short assessment that looks at all three at once. Most of the time the blocker isn't the technology but the lack of a clear owner or rules of the game. Starting from a single isolated use case usually repeats the pattern of POCs that don't scale.
What is an AI COE and when is it worth implementing?+
A Center of Excellence (COE) is the team that concentrates AI leadership for the whole organization: it defines the rules, chooses and administers the tools, and leads security, privacy and ethical-use practices. An isolated use case doesn't need one; several use cases in parallel do. It's what stops each area from reinventing its own rules and ending up with solutions that can't be sustained.
How is the ROI of an AI initiative measured?+
With the business KPI of the use case, not with technical metrics: approval rate, cycle time, stoppages avoided, scrap reduction. We define the indicator together with the business area before building anything.
What happens with the security of our information?+
It's one of the pillars of the service, not an annex: every AI tool used without control is a door through which your information can leave the company. We work with a curated catalog of approved tools, configurations that don't retain your information, safeguarding of your own code and data, and audit logs from day one.
Do you replace our technical team or work with it?+
We work with it. The COE or squad operates with your in-house team, not in parallel to it, and the documentation and enablement stay as installed capability in your organization, not as a dependency on us.
How long until we see a result?+
The assessment delivers clarity in weeks. The first use cases in production usually take 6 to 10 weeks to MVP, with monthly progress reporting from the start.
How do you apply AI to the software development cycle?+
We intervene the cycle by phase: requirements and specification, design, development, testing and deployment. In each phase we define which tasks AI assists, with which tools, and which quality controls stay with the team. It doesn't replace your current process: it's incorporated gradually, with baseline metrics to measure the real evolution.
Which industries do you have the most experience in?+
We have experience in Insurance, Oil & Gas and Manufacturing, with clients like Galicia Seguros, Mercantil Andina, Sancor and AESA. The service scales to any industry that develops software.
Does your company need an AI roadmap?
In a first conversation we understand your context and tell you frankly whether we can help, and how. No sales pitch. No generic proposal.