AI readiness assessment and roadmap
We map your processes, data and existing systems, then rank which work should use AI first based on value and risk. You get a roadmap tied to business metrics, not a technology wish list.
AI Solutions & Agentic AI
Enterprise AI and Agentic AI development
We design and build AI systems wired into your real data and real systems — from intelligent assistants grounded in your internal knowledge, to AI agents that actually carry out work. Production systems, not demos.
Signs your organization should start now
Your team burns hours on repetitive work
Staff spend hours a day copying data, summarizing documents, or answering the same questions AI could handle.
Knowledge is scattered
Manuals, contracts and documents live in different places. New hires cannot find anything without asking a veteran.
Systems do not talk to each other
You run ERP, CRM and internal tools, but data does not flow between them — so people re-key it or export to Excel.
You tried AI but it stalled
You ran a POC or let the team use ChatGPT, but it never became a system people rely on daily.
What we deliver
AI agents and workflow automation
We build agents that execute multi-step work — read an incoming document, check conditions, write to your systems and notify the right people — with explicit boundaries and human approval where it matters.
Knowledge assistants (RAG)
We connect AI to your internal documents and databases so it answers from real company data with citations, cutting hallucination and respecting per-role access rights.
API integration with existing systems
We connect AI to your ERP, CRM, LINE OA, accounting or databases through a separate integration layer that never touches your core systems directly, keeping risk contained.
Security and PDPA compliance
We design data handling to meet PDPA: access controls, usage logging, retention policy, and options to process sensitive data inside your own environment.
Training and ongoing support
We train your team to run and adjust the system themselves, and offer ongoing support to tune outputs, update models and keep AI usage costs under control.
What you can build with it
Customer service
An assistant that summarizes customer history and drafts replies for agents, cutting handling time and keeping answers consistent.
Finance and accounting
Read invoices and receipts, extract data into your system automatically, and flag anomalies before they reach an approver.
Human resources
Answer benefits and policy questions from the real handbook, and screen applications against defined criteria.
Sales
Summarize customer conversations, update the CRM automatically, and suggest next steps based on past deal history.
Manufacturing and supply chain
Combine data across systems to forecast material demand and raise alerts when signals look abnormal.
Legal and procurement
Search clauses across large contract sets, compare versions, and summarize the points that need review.
How we work
Transparent at every stage — you always know what you are paying for.
- 011–2 weeks
Discovery workshop
We talk to the people doing the work, capture processes and available data, and identify where AI helps and what it is worth.
- 021–2 weeks
Design and agreed scope
We design the architecture, select models and platforms, define success metrics, and put scope and budget in writing.
- 034–10 weeks
Build and test on real data
We build in short cycles so your team sees progress and gives feedback, testing against real data until output quality is acceptable.
- 04Ongoing
Launch and handover
We go live, train your team, hand over documentation, and keep tuning based on how the system is actually used.
How pricing works
We do not sell fixed packages, because scope varies enormously between organizations. Pricing is based on how many systems need to be connected, the volume and quality of your data, the number of users, and the level of post-launch support you want. We always put scope and budget in writing before work begins — no hidden costs along the way.
Free initial scoping and budget estimate, no commitment.
Technology we use
We pick tools to fit the problem, never locked to a single vendor.
- OpenAI
- Anthropic Claude
- Google Gemini
- Azure OpenAI
- AWS Bedrock
- LangChain
- Vector Database
- Model Context Protocol
- n8n
- Python
Frequently asked questions
What is Agentic AI and how is it different from a chatbot?
A chatbot answers a question and stops. Agentic AI plans multiple steps and carries them out — taking an instruction, pulling data from several systems, deciding based on rules, then writing results back. We define exactly what an agent is allowed to do and where a human must approve first.
How ready does our data need to be?
You do not need perfect data. Many projects start from what already exists — manuals, policies, past customer conversations. What matters more is a clearly defined problem. During discovery we tell you plainly which use cases your current data supports and which need preparation first.
Will our data leak to the AI provider?
That depends on the design. We use enterprise tiers that do not train on your data, let you pin the processing region, and where requirements are strict we can design sensitive processing to stay inside your own network — always with access controls and full usage logging.
Can it connect to our existing ERP or CRM?
Yes, if the system exposes an API or an accessible database. We connect through a separate layer without modifying your core system. If a legacy system has no API, we assess alternatives such as scheduled data syncs or reading its export files.
How long before we can actually use it?
Projects with a clear scope typically reach production in around two to three months. Work spanning many systems or with strict security requirements takes longer. We recommend starting with a small, measurable scope and expanding from there.
What happens when the AI gets something wrong?
We design systems to answer from real data with source citations, restrict the topics they will answer on, and say "I do not know" instead of guessing. High-impact work always keeps a human check, and we track answer quality to tune continuously.
What are the ongoing costs?
Mainly model usage charges based on volume, hosting, and a monthly support fee if you choose it. We estimate expected monthly running costs during the design stage and put monitoring in place so costs do not drift beyond what was agreed.
How technical does our team need to be?
You do not need your own AI team. We ship an admin interface where your staff can edit content and rules without code, plus training and documentation. If you want full ownership we hand over the source code and transfer knowledge to your IT team.
Our other services
Have a task in mind but unsure if AI can do it?
Tell us the problem and we will give you a straight answer on what is feasible, where to start, and whether it is worth it.
Free consultation