A / For EnterprisesAI Productivity & Automation
Your team is already using AI.
The question is whether safely.
Banks, IT companies, hospitals and corporate houses across Nepal are watching their staff paste sensitive data into ChatGPT with no policy, no workflow, no review. We fix that: practical training, internal AI policy, and department-specific automation.
01 / Pain we solveThe status quo at most Nepali enterprises
Leadership awareness, no plan
Executives hear about AI everywhere but don't know how to evaluate use cases, set policy, or measure ROI.
Random employee usage
Staff use ChatGPT, Gemini and Copilot freely: pasting customer data, contracts and internal docs with no guardrails.
Compliance fear
Banks and insurance fear regulator action; hospitals fear patient-data leaks; nobody has written down what's allowed.
No internal champions
AI knowledge sits with one or two enthusiasts. When they leave, capability disappears with them.
Generic foreign training
Imported curricula don't match Nepali workflows, regulators, languages or operational realities.
Dashboards, not outcomes
AI vendors sell tools. Nobody's training the humans who'd use them, so nothing actually changes.
02 / ModulesCurriculum
Diagnostic first.
Then train what matters.
We start with an AI Productivity and Risk Diagnostic, then design the workshop, sprint, or retainer around the workflows and risks that matter most.
01
AI literacy for executives
C-suite framing: capabilities, limits, vendor landscape, policy, ROI, risk.
02
ChatGPT, Claude, Gemini, Copilot
Practical comparison + when to use which. Hands-on tasks the team brings from their own work.
03
AI for documents, email, research
Drafting, summarizing, contract review, meeting notes, research synthesis.
04
AI for customer support & ops
Triage, knowledge bases, response drafting, escalation flows in Nepali + English.
05
AI policy & safe usage
We help you write your internal AI policy in the workshop. Compliance-aware and bilingual.
06
Department-specific workflows
HR, finance, marketing, legal, IT: each gets a tailored half-day with their own tools.
07
Internal AI champions program
Train 3–5 internal champions to maintain momentum and run quarterly internal AI clinics.
08
AI Transformation Sprint (premium)
1 week discovery -> 2 day training -> 2 week implementation. Deliverables: use-case map, policy, prototypes.
03 / SprintThe flagship: AI Transformation Sprint
Three weeks. Three deliverables. One AI-ready org.
For organizations of 50–500 staff. We embed for three weeks, train your team, write your policy, and ship working prototypes. Most clients see measurable productivity gains within 30 days of completion.
WEEK 01
Discovery
Stakeholder interviews, workflow audit, AI use-case map, risk register.
WEEK 02
Training
Two-day intensive for 25–60 staff. Bilingual delivery. Custom dept tracks.
WEEK 03–04
Implementation
Two weeks of supported rollout: workflow templates, automations, internal AI policy.
04 / PricingWorkshop packages
Selective price anchors.
Starting prices show seriousness without turning transformation work into a commodity menu. Final scope depends on team size, departments, data risk, and support period.
AI PRODUCTIVITY AND RISK DIAGNOSTIC
From NPR 75,000
from · leadership + workflow scan
Structured assessment of current AI usage, sensitive-data risk, workflow opportunities, and best-fit adoption plan.
- · Leadership call
- · Staff usage survey
- · Risk and use-case map
- · Proposal-ready scorecard
TEAM AI PRODUCTIVITY WORKSHOP
From NPR 300,000
from · 1 day · up to 25
Full-day applied workshop. Each attendee leaves with 3 personal AI workflows.
- · 8 hr · bilingual
- · 3 modules of choice
- · Workflow templates
- · Slack channel · 30 days
DEPARTMENT WORKFLOW DEEP-DIVE
From NPR 450,000
2-day · 1 dept
Tailored to one department's workflows. Most popular with finance, HR, marketing.
- · 2 days on-site
- · Custom curriculum
- · Department AI policy
- · 60-day support
AI TRANSFORMATION SPRINT
From NPR 1.2M
from · 4 to 6 weeks
The flagship. Diagnostic, workshops, policy, workflow redesign, and supported implementation. Banks, INGOs, telcos, and regulated teams scope higher as support expands.
- · Discovery to rollout
- · Up to 60 staff
- · Internal AI policy
- · Prototype automations
QUALIFIED NEXT STEP
Request diagnostic, proposal, or seat.
For enterprises, we qualify by team size, risk exposure, workflow pain, budget readiness, and whether a diagnostic, workshop, deep-dive, or transformation sprint is the right first step.
Enter your email to receive a free practical copy, then choose whether you want a diagnostic, proposal, cohort seat, or partnership conversation.
AIducationNepalMaking Nepal AI-ready.
Aligned with Nepal's National AI Policy 2082 / 2025. Building toward the policy goal of 5,000 skilled AI professionals and AI Excellence Centres across all seven provinces.
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