AI services for business
You pick the workflow. We assess it, build it and train your people to run it.
The record behind the work
LOKAL provides AI readiness assessments, enablement, implementation and adoption, workflow automation, role-based training and AI search visibility.
Each starts with one workflow and a named owner.
Founder’s record · Uber APAC, 2019–26
Before LOKALJoshua Pielago built and led Uber’s APAC support-automation programme from 2019 to October 2024, then the AI Everyday programme across five APAC markets in 2025–26.
Study · 2026
ResearchA channel comparison across roughly 2.5 million hotel sessions.
AI referrals were under 0.1% of sessions. Not a result of our work.
Read the researchSix ways we can help
Start with an assessment, a defined workflow or a team that needs support. Each service maps to a stage of the AI practice.
Start here · Assessment
We inspect the work, data, tools, risk and people, then rank the workflows worth building and the gaps to close first.
See the scopeOrganisation-wide · Enablement
Leaders aligned, workflows redesigned, managers and teams equipped, controls set, and the new behaviour measured.
See the scopeSystems · Applied AI
Models, tools and your existing systems connected around one workflow, with exception handling and an accountable owner.
See the scopeOngoing · Run
Keep agreed AI workflows useful after launch with named ownership, review and ongoing management.
See the scopeSkills · Training
Role-based practice on your own work. One format inside the programme, not a substitute for operating change.
See the scopeSearch · AI SEO
Measure how your brand is named, cited and recommended, then improve the pages and signals that shape those answers.
See the scopeHow it runs
Every handoff produces something the next owner can inspect: a score, a decision, a working change or a repeated measure.
Find the work with a real owner, usable inputs, manageable risk and a result your business can recognise.
Choose a small first wave. Record what is ready, what needs a prerequisite and what should not become an AI project.
Implement the workflow, the human check, the guidance, the training and the manager rhythm together.
Measure use and output quality, handle exceptions and expand only after the operating pattern holds.
Terms
The engagement and pricing method, written so you can inspect it before the first call.
One project fee, quoted after intake confirms the workflows, interviews, systems and review rounds.
A project or staged scope tied to the approved workflow, integrations, review burden and acceptance checks.
A programme scope across leadership, workflows, managers, training and measurement. Expansion follows evidence.
Credentials
Claude Partner Network member. Claude Certified Architect, Foundations. Our founder participates in the OpenAI Champions Network.
AI work evidenceIn good company
Common questions
LOKAL provides AI readiness assessments, organisation-wide enablement, implementation and adoption, workflow automation, role-based training and AI search visibility. The services connect, but each has its own scope and decision point.
Consulting is where we start: the assessment and the decision. It routes into a defined readiness, enablement, implementation or training scope, or concludes that no project is ready yet.
Readiness is quoted as a fixed project after intake. Implementations are priced against the approved workflow, systems, review burden and rollout scope. Enablement programmes use an agreed workstream and cadence. Workshops are scoped by audience, format and company material.
We recommend tools after the workflow, security needs, data, user context and existing licences are understood. A platform preference is an input, but it does not decide the architecture by itself.
Yes, when the team has a clear learning job and approved examples. For broader adoption, training works better beside a workflow, manager ownership and follow-up measurement.
The founder’s Uber record and the published case studies and research, each with its period and scope stated. Ask for the case closest to your workflow in the consultation.
Start with the constraint
Tell us what happens now, who owns the output and where the work breaks. We review the brief before proposing an assessment or implementation.
The brief