Skip to content
Resources
Bring AI

into

how your team actually works.

We diagnose where AI fits in your organization, redesign the workflows that matter, and train your teams to run them.

Talk to Our Team

Trusted by 0

Telkomsel
AXA Mandiri
Indosat Ooredoo
BRI
BNI
Pertamina
Kominfo Kominfo
Fujitsu
Kementerian Pekerjaan Umum KEMENTERIAN PEKERJAAN UMUM
Telkom Indonesia
JNE Express
Yakult

What We Do

Three steps from audit to adoption.

A structured engagement that starts with your actual workflows and ends with your team using AI every day.

1

Diagnose

AI Diagnostic

We find where AI pays off first. Structured interviews with executives, functional heads, and operators map pain points across your organization. Each workflow is scored for ROI, AI fit, and cross-unit reach.

Output

Prioritized pain point audit with business case

2

Redesign & Build

Workflow Redesign

For the highest-priority workflows, we map current state and design future state with you. Then we build the tools — custom AI assistants, agents, prompt templates, and automated workflows. Your team co-designs because they'll run it.

Output

Redesigned workflows + working AI tools

3

Activate

Activate & Train

We train every team member who touches the workflow with hands-on sessions on their specific new process. Then we stay for several weeks to track adoption, fix friction, and refine. When we leave, your champions have the playbook.

Output

Trained team + measurable results + scaling playbook

In Practice

What this looks like in your function.

Every function has workflows where AI can expand what your team is capable of. Here are the kinds of use cases we identify and redesign.

  • Marketing

    Weekly campaign reviews with kill/scale/watch recommendations

    Continuous competitive monitoring with auto-surfaced alerts

    Performance reports drafted from raw data with AI narratives

  • Operations

    SOPs drafted from process interviews and documentation

    Resource allocation with trade-off analysis for leadership

    Dashboards auto-generated from source systems

  • Sales

    Pipeline review with deal risk and forecast updates

    Proposals drafted with pricing and case studies assembled

    Lost-deal patterns surfaced from CRM and call transcripts

  • Customer Experience

    Agent quality scored with coaching priorities surfaced

    Inquiries triaged from knowledge base, complex cases routed

    VOC insights synthesized weekly with retention signals flagged

  • HR

    Job descriptions drafted from role requirements

    Onboarding personalized per hire with auto-scheduled paths

    Survey analysis to surface retention risk early

Deliverables

What you get.

  • AI Adoption Report

    Leadership alignment output with priorities and roadmap

  • Workflow Audit

    Pain point matrix with impact scoring and business case

  • Redesigned Workflows

    Step-by-step documentation of new AI-integrated processes

  • Custom AI Tools

    GPTs, agents, prompt templates built for your use cases

  • Measurement Framework

    Baseline metrics and adoption tracking for every workflow

  • Scaling Playbook

    Everything your team needs to do the next one without us

FAQ

Common questions

We're already using AI. Why do we need external help?

Most teams have adopted point tools. Drafting in ChatGPT, transcribing with Otter, generating decks with Gemini. That's individual productivity, not transformation. Transformation is when an entire workflow gets rebuilt around AI, the team runs it the same way every time, and the output is measurable. Getting from one to the other is where most teams stall, because nobody owns it and tools alone don't solve it.

Why not just hire an AI engineer and build this in-house?

You can, and some clients do alongside us. The constraint usually isn't engineering. It's two other things. First, knowing which workflows to redesign and in what order, which requires interviewing operators across functions and scoring opportunities against business impact. Second, getting the team to actually use what gets built, which is a change problem more than a build problem. We come in to do both, then hand over a playbook your team uses to run the next ones without us.

How is this different from hiring a management consultant?

Consultants deliver decks. We deliver working AI tools your team uses on Monday. The diagnostic and roadmap can look similar on paper. The difference is what gets handed over: redesigned workflows in production, custom AI assistants and agents your team operates, a measurement framework, and trained users. Not a 200-slide PDF.

Our team isn't very tech-savvy. Will this actually work?

The engagement assumes business expertise, not technical depth. We handle the implementation. Your team co-designs the workflow because they know the work, validates outputs against how the job actually gets done, and operates the redesigned process daily. Adoption succeeds when the workflow fits how your people already think, which is why we build it with them, not for them.

What AI tools do you work with, and what happens to our data?

We're tool-agnostic. Copilot, Claude, ChatGPT, Gemini for the model layer. n8n, Zapier, and custom integrations into your existing systems for orchestration. The right stack depends on three things: data sensitivity, the systems your data lives in, and where the actual bottleneck sits. On data, we work inside your security posture. Enterprise-tier accounts with no training on your inputs, data residency where required, and access controls aligned to the regulations you operate under. The setup is agreed before build work starts, not after.

Do we need to have done AI training first?

Not required, but it accelerates everything. Teams that have been through our AI Training Programs or Executive AI Training know what's realistic to ask for and validate outputs faster. If your team hasn't, we usually pair the engagement with targeted training for the people closest to the workflows being redesigned.

What does it cost?

Engagements are scoped by workflow count, complexity, and integration depth. There's no shelf pricing because there's no shelf product. After the discovery call you get a fixed-price quote with the full scope and deliverables before any commitment.

Talk to Our Team

Tell us what you're looking for. We'll follow up within one business day.

Get in Touch