Codium Lab

Collaboration

From research to real work, from work to tools

Codium Lab's collaboration divides into four paths: consulting, engineering, education, and studio. We build automation that reaches production, not just demo.

Detail

Services in depth

Consulting

AI Automation Consulting

Workflow diagnosis → automation design → production handoff

We analyze the texture of repetitive work to find exactly where LLMs, RPA, and scripts fit best. We design automation that reaches production, not just PoC.

Deliverables

  • Workflow diagnostic report
  • Automation priority matrix
  • Implementation & operational cost guide
  • Step-by-step roadmap

Timeline

2–6 weeks (discovery & design)

Best for

Teams with clear repetitive work that need to set automation priorities

Engineering

Custom LLM Tool Development

A dedicated assistant tailored to your organization's data

We design search, summarization, and generation tools based on your internal docs, manuals, and customer data, then deploy them in compliance with your security policies.

Deliverables

  • Dedicated assistant (web/Slack/CLI)
  • RAG pipeline + embeddings
  • Prompt & model operations manual
  • Monitoring & rollback tools

Timeline

6–12 weeks (design, build, handoff)

Best for

Organizations with scattered internal knowledge and security requirements

Education

AI Literacy Training

Practical training programs for organizations and individuals

Through the Adium brand, we deliver immediately applicable AI education — from executive workshops to practitioner hands-ons.

Deliverables

  • Separate executive & practitioner curriculum
  • Organization-specific case studies
  • 30·60·90-day post-completion coaching
  • In-house trainer development (optional)

Timeline

1–8 weeks (per workshop / annual track)

Best for

Organizations with low AI adoption or those needing post-adoption stabilization

Studio

Digital Goods Collaboration

AI design brought into everyday objects

The Badium brand transforms AI design into goods and content. Brand and campaign-scale collaboration available.

Deliverables

  • AI artwork package
  • Goods mockup & production coordination
  • Campaign licensing
  • Online & offline distribution guide

Timeline

3–8 weeks (seasonal / campaign basis)

Best for

Teams needing fresh visual assets for brands or campaigns

Engagement

Three modelsto get started

Choose the collaboration model that fits your needs. All are decided together in a diagnostic meeting.

PoC Package

Scoped estimate

  • 2–4 week discovery + prototype
  • Internal reporting & decision-making deliverables
  • Production adoption decision after PoC

Full Project

Negotiated

  • Design → build → production handoff
  • Pair work with your team, guaranteed handover
  • Operational tools, documentation & coaching included

Advisory

Monthly

  • 2–4 regular meetings per month
  • Technical & organizational decision advisory
  • Emergency code reviews & architecture checks

Stages

Each of the four stages in depth

01

Discover

Redefine the problem

We start with on-site interviews and data flow observation. First, we determine whether there's really a place for AI.

Participants

  • Our consultants & engineers
  • Client decision-makers & practitioners

Deliverables

  • Problem definition notes
  • User journey map
  • Data & system inventory

Duration

1–2 weeks

02

Design

Sketch the simplest solution

We place users, models, data, and operational cost on one canvas and sketch the simplest solution. Complexity is a cost.

Participants

  • Engineers
  • Designer
  • Client PM

Deliverables

  • Solution architecture
  • Prompt & model strategy
  • Operational & security scenarios

Duration

1–2 weeks

03

Build

Production-ready code only

Production-ready code, not prototypes. Monitoring and rollback scenarios built in from the start.

Participants

  • Engineering team
  • Client developers (pair)

Deliverables

  • Production-ready system
  • Test & CI pipeline
  • Monitoring & rollback tools

Duration

4–8 weeks

04

Transfer

Leave no dependencies behind

We hand over documentation, training, and management tools so the organization can operate independently. The goal is to leave no dependencies.

Participants

  • Our full team
  • Client operations team

Deliverables

  • Operations manual
  • In-house trainer development (optional)
  • 30·60·90-day coaching plan

Duration

2–4 weeks + follow-up coaching

Working agreements

Working agreements

Operating principles we agree on before starting to keep collaboration smooth.

  • Weekly review

    At a fixed time each week, we jointly summarize progress, decisions, and blockers.

  • Shared channel

    Work, decisions, and documentation are centralized in one Slack/Teams channel.

  • Decision log

    Major decisions are captured in short notes. Six months later, you can still see who decided what and why.

  • Clean handoff

    Designed so no additional work is needed after the transfer stage. Follow-up coaching is negotiated separately.