AI Systems · The flagship line
No demos that die in a folder. Systems that run your work.
Custom AI systems for established businesses: back-office automation, customer-facing AI, decision dashboards, and content systems. Mapped from your SOPs, built against agreed success criteria, and run in production. Scoped per engagement.
Built for businesses that already run on systems
The pattern behind nearly every AI system that works: it converts business logic that already exists into software that executes it. If your operation has established teams, documented SOPs, and KPIs you actually measure, you have everything an AI system needs. We turn what your team already does on rails into something that runs without them.
Still inventing the process, or just need a strong web presence? Start with the website tiers instead. Same person, same standards, fixed prices. See the website tiers.
The method
Map, Build, Run.
AI Workshop + AI Blueprint
We align on what AI can genuinely do for your business, then map your workflows, data and SOPs into a costed roadmap. Every candidate system gets a business case before anything gets built.
Custom AI Build
We build the system scoped in the blueprint and verify it against success criteria agreed before the first line of code. Tested at realistic volumes, not demo volumes.
Managed AI Run
Deployed systems are monitored, measured and improved monthly. AI that nobody maintains decays quietly. Ours is kept working, and you see the numbers.
What we build
Four kinds of systems.
Back-office workflow automation
Document processing, approvals, reconciliation, data movement between systems, report generation. If the work follows an SOP, most of it can run without a human in the loop, with the judgment calls routed to your team.
- Invoice and document intake to structured records
- Cross-system data sync with human review queues
- Scheduled report generation and distribution
Customer-facing AI
WhatsApp and web assistants that triage enquiries, qualify leads, answer policy questions and book appointments, with clean handover to your people. Built on the same WhatsApp plumbing we wire into every website project.
- WhatsApp enquiry triage and booking
- Lead qualification with CRM handoff
- Answers grounded in your own documents, not the open internet
AI dashboards and decision support
Live dashboards that pull from your systems and explain what changed and why it matters, not just charts. Daily briefs, anomaly alerts, and summaries your leadership actually reads.
- Morning operations brief compiled overnight by agents
- KPI anomaly alerts with plain-language context
- Cross-system reporting without manual exports
AI content and marketing systems
Programmatic SEO and content pipelines that generate, review and publish at a scale a human team cannot match, with editorial gates so quality holds.
- Programmatic landing pages from structured data
- Content pipelines with human review gates
- Local SEO content engines that stay current
How an engagement runs
Four rungs. Climb as far as the value goes.
Every engagement is scoped per business. The workshop is the smallest commitment; each rung earns the next.
01 · AI Workshop
MapA half-day session with your leadership and process owners. Where AI genuinely fits your operation, where it does not, and what is actually being deployed in businesses like yours. You leave with a shared vocabulary and a shortlist of candidate systems.
You get: A shortlist of candidate AI systems, ranked by feasibility and business impact.
02 · AI Blueprint
MapA two to three week discovery. We map the workflows, decision trees, data flows and SOPs behind the shortlist, model the ROI, and design the architecture. The blueprint is yours to keep: build it with us, or take it to any competent team.
You get: A costed implementation roadmap with KPI targets and an ROI model.
03 · Custom AI Build
BuildWe build from the blueprint, module by module. Success criteria are agreed up front and every module is verified against them at production-like volumes before it ships. Your team is trained on the system before handover.
You get: A production system, verified against agreed benchmarks, with documentation and training.
04 · Managed AI Run
RunModels change, APIs change, your business changes. We monitor accuracy and cost, re-verify outputs monthly, and keep improving the system against its KPI. A monthly engagement you can cancel anytime.
You get: A monthly report: accuracy, cost, throughput, and the improvements shipped.
Proof, not promises
We run on these systems ourselves.
lejar.ai: built and operated by us
Our AI-native accounting platform for Malaysian businesses runs in production: bank statements in, ledger entries, reports and e-Invois compliance out. The same architecture discipline, migrations, audit trails and monitoring we bring to client systems.
A 1,300-page programmatic directory
One of our portfolio properties is a local services directory with over 1,300 generated pages, built, deployed and kept current by an AI pipeline with human review gates. Maintained by a fraction of one person.
An operations cockpit run by agents
Our own business runs through an internal cockpit: daily briefs, monitoring and dashboards compiled by AI agents on schedule. We dogfood everything we sell.
Asked before you ask.
- Why are there no prices on this page?
- Because honest pricing for custom AI work needs scope. Every engagement starts with a conversation, and the workshop is deliberately the smallest commitment: it exists so both sides can size the opportunity before bigger numbers are discussed.
- How is this different from hiring a big consultancy?
- We are deliberately small. The people who run your discovery are the people who design, build and run the system, with AI doing the heavy lifting in between. No pyramid of juniors, no handoffs where context dies.
- What do you actually build with?
- Model-agnostic and harness-first. The orchestration is deterministic code; AI models are used where judgment, language or extraction is needed, and swapped as better ones ship. You own the code, the infrastructure and the accounts.
- How do you measure success?
- Every build starts from a KPI with a direct line to your P&L, agreed in the blueprint. If we cannot find that line, we will tell you not to build. Vague goals produce shelf-ware, and we do not ship shelf-ware.
- What about our data?
- Least-privilege by default: scoped and read-only keys wherever possible, PDPA-conscious handling, and your data stays in your accounts. Every worst case is engineered to fail safe: draft instead of send, read instead of edit, archive instead of delete.
- Will this replace our team?
- It takes the repeatable work. Your team keeps the judgment calls, with far more time to make them. The businesses winning with AI redeploy their people onto higher-value work; they do not simply cut headcount.
Tell us how the work gets done today.
Bring the SOP, the spreadsheet, or just the bottleneck. We will tell you honestly whether an AI system earns its keep there, and what mapping it would take to find out.