AI-powered business transformation.
We identify where AI can create measurable value, implement the right solutions, and continuously optimize performance.
Start with a focused Opportunity Scan, or bring us a clearly defined operational challenge.
01 / Outcomes
Start from the result you need.
Five areas where AI can create measurable value in a business, and the indicators we track so the result can be checked.
Commercial performance
What we look at
Qualification, follow-ups, proposal preparation
Indicators we track
Response time, conversion, margin
Operational efficiency
What we look at
Re-keying, documents, reporting
Indicators we track
Processing time, errors, cost per file
Customer experience
What we look at
Replies, follow-up, routing of requests
Indicators we track
Turnaround time, resolution, satisfaction
Business reporting & decision-making
What we look at
Consolidating and circulating information
Indicators we track
Reporting time, reliability, usage
Internal knowledge
What we look at
Searching and accessing procedures
Indicators we track
Time to find an answer, usage
For every engagement, we define with you the baseline metrics and the results to measure.
Sometimes the right answer is an existing tool, a simpler process, or not automating at all. We say so.
02 / How we get there
How we get there.
Six core competencies, one point of contact. They are how we get the results above, from the first diagnosis to deployment.
AI Strategy
Audit your operations and build a tailored AI roadmap that maps to real ROI.
Integration
Embed intelligence into your existing tools: Salesforce, SAP, custom APIs.
Custom Apps
Bespoke AI-powered applications built from prototype to production.
Analytics
Predictive models and dashboards that turn your data into foresight.
Automation
Intelligent workflow automation that eliminates repetitive bottlenecks.
Conversational AI
Deploy LLM-powered assistants that actually understand your domain.
- Request received
- Information extracted
- Human approval
- CRM updated
- Response time tracked
Fixed-price offer
Not sure where to start?
Three ways in, no open-ended engagement: a fixed-price 2-day Scan that ranks and prices what to automate, a Performance Audit quoted on scope for wider problems, or one eligible process live in 14 days.
AI Opportunity Scan
1 900 EUR
3 opportunities prioritized by economic value, feasibility and risk, a quote for each, one prototype or a straight recommendation.
AI Performance Audit
Custom quote
A wider diagnosis for a team or department: where the hours go, and a prioritized roadmap.
Implementation
4 500 EUR
One eligible process in production in 14 days from validated scope, 30 days of support.
Then, once a process is live: Managed AI, maintenance and supervision at 300 EUR per month per automation, optional (monitoring, incidents, updates, cost tracking). Performance optimization is a separate service with its own scope and quote.
03 / Process
Identify. Implement. Optimize.
The same four steps every time: a call to name the process, a two-day Scan to identify what is worth automating, fourteen days to implement one eligible process, then thirty days of support while it settles.
Discover
You bring the process that eats the most of your week. We tell you on the call whether it is automatable and roughly what it costs, before you spend anything.
Identify
The AI Opportunity Scan: we observe how the work is done, measure what it costs, and prioritize. You get three opportunities ranked by economic value, feasibility and risk, a quote for each opportunity, and a working prototype chosen on value, feasibility, the biggest uncertainty to test and effort. Sometimes the honest recommendation is not to build.
Implement
One named process, built and put into production on your real work. The 14 days start once the scope is validated, access is granted and a contact is named on your side. Not a pilot: it runs on your accounts, with the code in your repository.
Optimize
Thirty days of support after go-live, while the process settles into a real week. After that, Managed AI is maintenance and supervision at 300 EUR per month per automation, optional. Performance optimization is a separate service with its own scope and quote.
Our founders: two generations, shared roots, complementary expertise.
Francky and Jordan Perez founded Infinify, bringing together two generations of the same family and two complementary perspectives on business transformation.
Francky brings experience in business development, marketing and leadership, identifying where change can create meaningful economic value. Jordan brings software engineering and AI expertise, turning those priorities into practical solutions.
Their shared roots connect them. Their different skills shape how they work: understanding the business, building the right solution, and measuring what improves.
One shared ambition: helping businesses turn AI into measurable performance.
Francky Perez
Co-founder, Business & Transformation
Economic diagnosis, prioritization, indicators, adoption by your teams.
Your engagement: leads the diagnosis, the prioritization and the indicators with you.
- MBA, University of Dallas
- Executive training in digital marketing, MIT Sloan School of Management
- Certified professional coach, author and speaker
Jordan Perez
Co-founder, Technology & AI
Feasibility, architecture, integration, quality, operations.
Your engagement: designs and builds the system, and answers for its quality.
- Full-stack engineer since 2021, co-founder of four startups
- Shipped payment infrastructure at DPO, across 20+ African markets
- BSc in Mathematics and Computer Science, Ariel University
04 / Protocol
Built for enterprise reality.
Compliance, migrations and running costs are part of the job, not an afterthought. The figures below come from a technical build by one of our founders, a Shopify storefront: build complete, launch suspended by the client, commercial results not measured.
Compliance treated as a requirement
GDPR · IS 5568 · your infrastructure
Data encrypted in transit and at rest, deployment inside your own infrastructure when required, and accessibility treated as a launch requirement: 16 of the 17 findings of the IS 5568 audit fixed, the last one waiting on details only the client can supply.
Plugs into what you run
Shopify · CRM · WhatsApp · custom APIs
No rip-and-replace: we connect to the tools you already use. When something has to move, nothing gets lost: 141 products migrated and 209 redirects mapped.
AI that cannot run up your bill
Rate limit · Daily cost breaker · Monitoring
An AI feature without a spending limit is not finished. The store's assistant ships with a per-IP rate limit and a daily cost circuit-breaker, and every assistant we build gets the same guardrails.
05 / FAQ
Questions, answered.
The things every team asks before starting an AI project. Anything else: ask us on the scoping call.
How long does a typical AI project take?
It depends on the shape of the work. One eligible process, automated and put into production, takes 14 days from validated scope at a fixed price, and a 2-day AI Opportunity Scan comes first when you are not sure which process to start with. A full custom AI application is a bigger piece of work: two to three months end to end.
Do we need a lot of data to get started?
Not necessarily. We start from pre-trained foundation models and fine-tune or ground them with your data. Even a few hundred examples can be enough to build a highly accurate system.
How do you handle data privacy and security?
Data is encrypted in transit and at rest, and when it cannot leave your infrastructure we deploy inside it, open-source models on-premise included. We work to GDPR requirements, and one of our founders built a storefront audited against the Israeli accessibility standard IS 5568, with 16 of 17 findings fixed.
What does pricing look like?
Two prices are published: 1 900 EUR for the 2-day AI Opportunity Scan and 4 500 EUR for the Implementation, one eligible process automated and in production in 14 days from validated scope, both excluding VAT and invoiced from Israel. The AI Performance Audit is quoted on scope, and Managed AI (maintenance and supervision) is 300 EUR per month per automation, optional, once a process is live. Anything else is a fixed price for a scoped project or a day rate for ongoing work, quoted in writing within 48 hours of the call, and it does not change unless the scope does.
Can you work with our existing tools and tech stack?
Absolutely. We're stack-agnostic: AWS, GCP, Azure, Shopify, WhatsApp, CRMs and custom APIs. We plug into what you already run rather than replacing it.
Which AI models do you work with?
We're model-agnostic. We work with commercial foundation models as well as open-source ones, and pick per project based on accuracy, cost, and latency. When your data can't leave your infrastructure, we deploy open-source models on-premise.
Do you also build small internal tools, or only large AI projects?
Both. Alongside full AI engagements we build small internal tools for business friction: simulators, tracking tools, mini-CRMs, dashboards, smart forms, client portals. Describe your need and we send a written quote within 48 hours.
What happens after launch?
We don't ship and disappear. Every deployment includes a monitoring dashboard, performance benchmarks, an operations guide and 30 days of support after launch. After that, Managed AI, maintenance and supervision at 300 EUR per month per automation, is optional. Performance optimization is a separate service with its own scope and quote. If the indicators set at the start do not improve, we look at why with you and adjust the work.
How do we get started?
Book a free 30-minute scoping call. We'll map out your highest-impact AI opportunities and show you exactly how we'd approach them, no commitment. You can also write to contact@infinify.ai or reach us on WhatsApp.
06 / Contact
Let's build something extraordinary.
Book a free 30-minute call with one of our founders. It decides your entry point: an Opportunity Scan, a Performance Audit, or straight to Implementation.