We help engineering teams put AI to work across planning, coding, review and release. Start with an assessment of your delivery process, then build the workflows, checks and team practices to improve it.
Get a map of your delivery bottlenecks, a prioritised plan for using AI, and the checks needed before rollout. Your team can implement the plan with us or independently.
Coding agents wired into your repos, review gates and CI, with the rules and context that keep output consistent with your codebase.
Test harnesses, evals and guardrails so every AI-assisted change is measurable before it ships.
Policies, security reviews and hands-on training so the whole team works the same way, and keeps working when models change.
Tell us the role, skills and start date. We shortlist vetted senior consultants; you choose who joins your team. We handle contracts and monthly invoicing.
Share the skills, seniority, start date and how long you need someone. A short call or a few lines by email is enough.
We send you a shortlist of vetted senior consultants who match the role. You meet them and pick the one who fits.
You agree rate and start date directly with the consultant. We handle the contract and send one invoice a month.
Proof of how we deliver: an AI matching service we designed, shipped and operate ourselves, live in Sweden.
Researchers looking for academic positions in Sweden face job boards scattered across universities, and keyword search that cannot say why a role fits.
An agentic pipeline that ingests and normalises vacancies from universities across Sweden, scores each one against a researcher's CV with the reasoning attached, and drafts cover letters from what they have actually published and taught.
We operate it ourselves every day: vacancies are ingested and re-scored continuously, every CV gets a weekly digest, and AI output has to stay explainable for real users. It is the same kind of system we help client teams ship and own.
Designed, built and operated by Effati Consulting.
Evidence of native mobile delivery: an iOS app that turns two taps into a shared map of how safe people feel, street by street.
People want to flag a place that feels unsafe in the moment, but unlocking a phone, opening an app and typing takes too long, and most location apps ask for more data than they need.
Two iOS lock screen controls that record a report the moment they are tapped, and a heatmap on Apple Maps built from everyone's reports, filtered by type, period and place. Users only ever see aggregated counts, never a single report.
Privacy designed in from the start: no account, no advertising, no tracking, and location read only with consent, never in the background. The same care we bring to client products that handle personal data.
iPhone with iOS 18 or later. Free. Reports are stored in the EU.
Tell us what you are building or who you need. We reply quickly, and the first 30 minutes of the call are free.
