Kaliber
Custom AI Projects — milestone-based builds from diagnosis to production Scope a Build
AI Transformation • Singapore • Sales · Marketing · Operations

AI projects that ship.
Not AI strategies that sit.

  • AI transformation for Singapore companies — Sales, Marketing, and Operations
  • Revenue-impacting projects — production builds, not pilots
  • Anchored to a framework: Diagnose → Scope → Ship → Iterate
  • EDG-suitable scoping for eligible Singapore SMEs

Enterprise Development Grant eligibility and approval are determined by Enterprise Singapore. Kaliber scopes projects with grant suitability in mind; clients apply through the Business Grants Portal.

120+
AI skills running in production
3.5 mo
Average project length, scope to ship
20+ days
Reclaimed per month, per operation
kaliber-build ~ agent session
> kali diagnose Scanning operations → 14 workflows mapped. 3 candidates flagged. Highest leverage:   → Weekly reporting (6 hrs/week recoverable)   → Lead triage & routing (instant vs 4-hr SLA)   → Competitor monitoring (daily, not weekly) > kali scope --target=1 --timeline=phase1 Build plan ready. EDG-suitability: evaluated. > kali ship
Scope Your Build

No obligation. 30-minute diagnosis call.

Custom AI work for teams at Stripe, Trend Micro, and operators across APAC

Stripe Trend Micro Okta Pfizer Warner Music Zenyum Criteo Stripe Trend Micro Okta Pfizer Warner Music Zenyum Criteo
0x
Faster to production than traditional consulting builds
0+
Custom AI builds shipped into daily operations
0%
Code ownership — yours to extend, modify, or move
3–6mo
Structured build-to-handover timeline

Kaliber is an AI transformation agency in Singapore. We build custom AI systems for Sales, Marketing, and Operations teams — projects that move revenue, not slide decks.

120+ production-validated AI skills, built into our own agency operation before any client engagement. Average build ships scope-to-production in 3.5 months. Every line of code is yours.

Built by

AI engineers, software developers, and founders who've shipped at scale

Robert Lai, founder — marketing-systems builder who designed and operates Kaliber's 120+ skill production library, and runs the agency's full delivery stack as code. The build team are AI engineers, software developers, and founders with backgrounds across the operators below.

The team are builders from
Grab Grab Google Google Mekari SAP SAP Series-E ventures

They built the infrastructure. Now they build yours.

Most AI projects don't fail technically.

They fail because they were never set up to ship. They were set up to be studied, demoed, or deferred. We've audited enough of them to know the pattern.

FAILURE MODE 01

Strategy decks that never ship

Six months of discovery. Two-hundred slides. A roadmap no one owns. The consultants leave and the project sits in a folder titled "Phase 2".

FAILURE MODE 02

Generic chatbots on broken processes

A "ChatGPT for your business" layer gets bolted onto a workflow that was already a mess. Now it's a mess with a chat window. Adoption stalls in week three.

FAILURE MODE 03

Pilots that die in procurement

A promising POC can't survive security review, data governance, or integration debt. The team loses momentum. The budget rolls over. The vendor ghosts.

We build the version that ships.

Up to 50% funded by Enterprise Singapore

The Enterprise Development Grant (EDG) supports Singapore SMEs undertaking projects that upgrade business capabilities. Custom AI builds can fit under EDG's Core Capabilities pillar — specifically Strategic Brand & Marketing Development and Business Strategy Development.

Project investment
S$0K
Typical custom build
With EDG
Out of pocket
S$0K
If approved at 50% support

Up to 50–70% support

Covers qualifying project costs including consultancy, software, and internal manpower. Enhanced support rates may apply under certain schemes.

Core Capabilities pillar

AI automation and productivity projects align with EDG's Business Strategy and Productivity Solutions categories.

SG-registered SMEs

Minimum 30% local shareholding, group annual turnover ≤ S$100M, and financial viability.

How we work together on an EDG-suitable build

What Kaliber does
  • Scope the project to align with EDG evaluation criteria
  • Draft the technical narrative and deliverables
  • Provide quotes, capability statements, and project artefacts
  • Deliver the build on the agreed timeline
What you do
  • Submit the application through the Business Grants Portal
  • Provide company financials and eligibility documentation
  • Sign off project milestones for grant claim purposes
  • Own the grant relationship with Enterprise Singapore

Kaliber has delivered EDG-funded projects for Singapore SMEs but is not a pre-approved EDG vendor or consultant. EDG eligibility, evaluation, and approval are determined solely by Enterprise Singapore. Typical approval timelines are 8–12 weeks. Support quantum, caps, and category eligibility are subject to change — refer to the Enterprise Singapore website for current guidelines.

The Kaliber Build Framework

DSSI — Diagnose, Scope, Ship, Iterate

Every custom build moves through four disciplined stages. Each stage has a tight scope, a clear deliverable, and an explicit list of what we refuse to do at that stage. This is how projects actually ship.

1

Diagnose

Phase 1 · Discovery

Find where AI creates real leverage — not where it looks impressive in a demo.

What we do
  • Map 10–20 workflows across your operation
  • Score each on impact × feasibility
  • Surface 3 highest-leverage candidates
What we don't do
  • Boil the ocean
  • Write a 90-page transformation deck
  • Recommend what's trending on LinkedIn
2

Scope

Phase 2 · Architecture

Commit to one build. Define what "done" looks like before a single line of code.

What we do
  • Write the build brief + acceptance criteria
  • Lock data sources, integrations, and model choice
  • Set EDG-suitable structure where applicable
What we don't do
  • Scope creep through "while we're at it"
  • Multi-phase roadmaps with no phase 1 deliverable
  • Commit to timelines we don't believe
3

Ship

Phase 3 · Build Sprints

Build to production. Deploy with observability. Hand over with documentation.

What we do
  • Weekly working demos — real code, real data
  • Instrument telemetry from day one
  • Write runbooks your team can own
What we don't do
  • Black-box builds you can't maintain
  • Demo-only prototypes that break in prod
  • Lock you into our hosting or tooling
4

Iterate

Phase 4 · Compound or Hand Off

Watch the build in the wild. Tune on real usage. Add the next lever — or get out of the way.

What we do
  • Monitor usage, errors, model drift
  • Ship measured improvements monthly
  • Train your team to extend it themselves
What we don't do
  • Force a retainer you don't need
  • Hide metrics behind an agency dashboard
  • Resist handover — we want you independent
What we've actually built

Same engine. Three operations. Shipped into daily use.

We don't pilot AI projects on you. We built the system for our own agency first, ran it across the whole operation, and now build instances of it for clients across Sales, Marketing, and Operations.

Case 01 · Our own operation Kaliber Group · Marketing + Operations

We built it for ourselves first.

120+ production-validated AI skills running across paid media, creative production, reporting, onboarding, and competitive monitoring. Built into our own agency operation, hardened in daily use before any client engagement. The same engine we now configure and deploy for clients.

Architecture
Campaign performance agents Automated reporting Content production pipelines Plain-English data access Meeting intelligence Workflow automation
Before → After
4 hrs → 15 min
Weekly reporting
4–8 hrs/wk
Recovered per account manager
2 days → 30 min
Client onboarding
3–5×
Content output, no new headcount
"The diagnosis agent caught a campaign pacing issue at 7am before anyone was online. By the time the team sat down, the alert was in ClickUp with a recommended fix. That used to take a full morning."
120+ skills Hardened in our own delivery Across the whole agency operation
Case 02 · Client engagement Enterprise furniture distributor · Singapore · Operations

Five-day quotes compressed to two hours.

Replaced a years-old "quoting ecosystem" — separate price lists, cost workbooks, series-specific BQ templates, distributed operational logic — with a single coordinated operating layer. Custom-engineered, not a SaaS overlay. Built into the client's ERP.

Architecture · 7 layers
Internal portal + auth Product intelligence engine AI quotation generator ATP-aware stock logic PO verification NetSuite-native order push
Before → After
2–4 hrs → <10 min
Single-series quote
1–3 days → 30–60 min
Complex multi-product quote
5 days → 2 hrs
Large project quote (100+ seats)
2–3 hrs → <10 min
PO verification, automated
"All quotation outputs generated by this platform are system-produced drafts. No quotation reaches a client, nor any order pushed to ERP, without explicit human sign-off."— from the Statement of Work
SGD 148.5K project 99-day build + 3-month enablement Claude Code + NetSuite native API
Case 03 · Client engagement Parenting media + commerce platform · SEA · Marketing + Sales

An entire performance-marketing operation, run from Claude Desktop.

28 production-validated skills deployed across the client's environment, layered onto their existing community-intelligence engine, landing-page product, and custom CRM. Not a SaaS dashboard — Claude Desktop is the operating interface.

Architecture · 4 layers, 3-tier context hierarchy
Campaign intelligence · 14 skills Creative pipeline · 6 skills Landing-page layer · 6 skills Analytics + memory layer Agency → role → client context tiers
Before → After
6 hrs → <2 min
Daily pacing check
6–8 days → 6–8 hrs
Campaign build (3–4 per cycle)
6–9 days → 12 hrs
Creative production (3–4 sets)
30 → 3 hrs/mo
Optimisation across 10 campaigns
"Platform investment recoverable within year one against agency fees alone. Internal capability continues compounding after."
SGD 88K project 11-week deploy + 3-month enablement 20+ working days reclaimed monthly
Where we build

Sales, Marketing, and Operations — projects that move revenue.

Every Kaliber build is custom — but the revenue lever is always one of three. We don't take on projects without a clear path to a number that matters.

Pillar 01 · Sales

Move pipeline faster — without growing the team.

AI agents that qualify, route, score, and respond to every inbound — before a human has read it. Internal copilots that draft proposals, follow up on stalled deals, and surface the next-best-action.

Example builds
  • · Lead qualification + CRM routing agents
  • · Deal-stage copilots (next-action, risk, follow-up)
  • · Proposal & quotation generators
  • · Inbound triage from forms / WhatsApp / email
Revenue lever
Pipeline velocity · win-rate · response time-to-first-touch
Pillar 02 · Marketing

More output, lower cost per result — same team.

Campaign agents that monitor and optimise daily. Creative pipelines that generate, brief, and QC at platform scale. Attribution + reporting that runs itself instead of consuming a Friday.

Example builds
  • · Campaign performance agents (Google, Meta, TikTok)
  • · Creative production pipelines (static + video)
  • · Landing-page builders + conversion copilots
  • · Weekly / monthly reporting that runs itself
Revenue lever
Cost-per-result · output volume · attribution clarity
Pillar 03 · Operations

Compress multi-day workflows to minutes.

Custom-engineered operating layers built into your existing stack. Quote-to-order platforms, internal portals, ERP-native automations, knowledge systems. The work that consumed your senior people now runs unattended.

Example builds
  • · Quote-to-order & ERP-native automations
  • · Internal portals + role-aware AI copilots
  • · Knowledge systems with sourced answers
  • · Data pipelines + plain-English data access
Revenue lever
Capacity unlocked · cost avoidance · error reduction

Industries we've built for

We focus on sectors where workflow complexity is high, decisions are frequent, and AI creates measurable leverage. Every build is scoped against the domain's specific constraints — regulatory, operational, or competitive.

Financial Services

Compliance-aware agents, lead intelligence, advisor enablement

Healthcare & Wellness

Patient triage, clinical ops, appointment systems, content pipelines

Retail & E-commerce

Creative generation, merchandising, CRM automation, pricing intel

SaaS & Tech

Support deflection, sales ops, internal Q&A, product analytics agents

Real Estate & PropTech

Lead qualification, listing automation, tenant ops, valuation intelligence

Education & EdTech

Enrolment agents, content personalisation, admin automation, tutoring AI

Logistics & Supply Chain

Shipment tracking, exception handling, document processing, vendor ops

Professional Services

Proposal generation, knowledge systems, time tracking, client intelligence

What we refuse to do

Most AI consultancies
Kaliber
6-month discovery, 200-slide strategy decks
Phase 1 diagnosis, working prototype before sign-off
Generic chatbot bolted onto a broken process
Scoped agents that fit your actual workflow
Black-box builds only the vendor can touch
You own the code, the prompts, the runbooks
Proprietary hosting you can't leave
Open stack — your keys, your infra, your data
Hallucination theatre (pilots that never ship)
Production from day one, with telemetry
Mandatory multi-year retainer
Fixed-scope builds; retain us only if useful

The stack we build on

Opinionated where it matters. Flexible where you need it. No proprietary lock-in.

Tools below; discipline above. Claude Code as a build runtime, not a chat window. Production telemetry from day one. Every integration scoped before code, every output gated on human approval.

Models & Agents
Claude (Anthropic) Claude Code OpenAI Gemini MCP LangGraph
Infra & Data
Python TypeScript Supabase BigQuery Postgres Netlify Vercel
Integrations & Ops
Google Ads API Meta Marketing API Google Workspace ClickUp Slack PostHog Ahrefs

Three ways to work with us

Model 01

Fixed-scope build

milestone-based · 2–6 months typical

One project, one price, one ship date. Ideal for a specific agent, automation, or internal tool.

  • DSSI framework end-to-end
  • Fixed price, fixed scope
  • Full code + documentation handover
  • EDG-suitable scoping where eligible
Model 03

AI transformation retainer

Quarterly · Performance tier

Senior strategist + engineering capacity, orchestrating a multi-quarter transformation across the operation.

  • Operations-wide AI roadmap
  • Portfolio of agents, pipelines, and tools
  • Change management + team training
  • Quarterly executive reviews
What it looks like inside our own operation

Lenny runs delivery for our Indonesia office. She's been on this engine since the second month it existed — testing every skill we now deploy for clients.

"We went from 4 hours of weekly reporting to 15 minutes. The agent pulls the data, runs the analysis, generates the insights, and formats the report. We just review and send. The build was in production inside the first phase — every line of code is ours."

LN
Lenny Novitasari
Associate Director, Kaliber Indonesia
94%
Time recovered per week
Phase 1
Scope to first production deploy
0
Manual steps remaining

Who this is for

A strong fit if you're…

  • A Singapore SME with a specific bottleneck, not a vague "AI ambition"
  • Ready to have one person on your side own the project internally
  • Willing to show us your real data and workflows — not sanitised versions
  • Comfortable with working demos over polished pitch theatre
  • Planning to apply for EDG and want a vendor who scopes cleanly
  • Building something you'll own — not outsourcing a system you don't understand

Probably not a fit if you…

  • Need a "digital transformation" deck for a board meeting
  • Want to explore AI without committing to a single problem to solve
  • Expect a 9-month roadmap before any working code
  • Prefer vendors who don't push back on bad briefs
  • Won't grant access to the systems the build needs to integrate with
  • Measure vendors by headcount or slide volume rather than what shipped

Frequently asked questions

AI transformation is the rebuilding of how your team works — typically across Sales, Marketing, and Operations — so that the recurring, multi-step, judgement-heavy work that consumes senior people now runs as production software. For most Singapore SMEs and mid-market companies, that means custom AI agents and automations built into your existing stack: CRM, ERP, ad platforms, internal portals. It is not a chatbot, a strategy deck, or an off-the-shelf SaaS subscription. At Kaliber, every project is scoped against a specific revenue lever — pipeline velocity, cost per result, or operational capacity — before any code is written.
In Sales, AI lifts revenue by compressing time-to-first-touch on inbound leads, qualifying every lead consistently, and surfacing next-best-action across the pipeline — typically increasing win-rate and reducing the leads-per-rep ratio without adding headcount. In Marketing, AI lifts revenue by lowering cost-per-result through daily campaign optimisation, increasing creative output 3–5× without growing the team, and recovering 4–8 hours per week per marketer that used to go to reporting. Both impact revenue directly: more pipeline at lower cost, more output at the same spend.
The fastest ROI typically comes from three project types: (1) inbound lead routing and qualification — payback in weeks once response-time-to-first-touch drops; (2) automated reporting and pacing — recovers 3–6 hours per week per role and pays back inside a quarter; (3) quote-to-order operations platforms — eliminates 80–95% of manual quoting time and unlocks 3–4× capacity per operations role. EDG-eligible Singapore SMEs can offset up to 50% of the project cost, which shortens the ROI window further.
AI consulting typically ends with a strategy deck and a roadmap. AI transformation ends with software running in your operation. Kaliber does the second: every engagement ships production code into daily use, with telemetry, documentation, and handover. Strategy work happens inside Diagnose and Scope — the first 2–4 weeks — but it exists to produce a shippable build, not a deliverable. If your problem genuinely requires an advisory engagement rather than a build, we will tell you that during Diagnose.
Most Kaliber builds reach production inside the first phase — typically 6–12 weeks from kickoff for fixed-scope engagements, with an average scope-to-ship length of 3.5 months across our project history. Operational impact (time recovered, capacity unlocked) shows up immediately on go-live. Revenue impact follows on a lag determined by your sales cycle: for short-cycle marketing optimisation, weeks; for B2B pipeline work, one to two sales cycles; for operations transformation, the productivity gain compounds month-over-month after the build is delivered.
Kaliber is headquartered in Singapore with an operating team in Indonesia. We build for Singapore-registered SMEs and mid-market companies, and serve clients across Southeast Asia. EDG-suitable scoping is available for eligible Singapore-incorporated companies; non-Singapore clients receive the same delivery rigour without the grant component.
EDG supports Singapore SMEs undertaking projects that upgrade business capabilities under the Core Capabilities, Innovation & Productivity, and Market Access pillars. Custom AI automation often fits under Business Strategy Development or Productivity Solutions. Kaliber scopes projects with EDG suitability in mind and provides the technical artefacts your application will need — but eligibility, evaluation, and approval are determined solely by Enterprise Singapore. Typical approval takes 8–12 weeks, and the application is submitted by your company through the Business Grants Portal.
You do. Every custom build is delivered with full source code, prompt libraries, documentation, and runbooks. We don't retain licensing rights over client-specific work. Where we use open-source libraries or our internal frameworks, we clearly document them — and those remain open or licensed under their original terms so you're never locked in.
Model choice is a Scope-stage decision, not a religious one. We default to Claude (Anthropic) for complex reasoning, tool use, and agentic workflows where quality matters more than cost. For bulk generation, classification, or embeddings, we often use smaller, cheaper models (Gemini Flash, OpenAI mini-tier). Where data residency or on-premise constraints apply, we design for open-weight models you can host yourself. Your build is architected so you can swap models later without rewrites.
Every build is architected with data minimisation in mind: we use API providers with enterprise-grade security (Anthropic, OpenAI, Google Cloud), strip PII where not needed, and design for your keys and your data residency requirements. For PDPA-sensitive workloads we can recommend self-hosted or Singapore-region deployments. Before any project starts, we align on a data handling specification — including what goes into prompts, what gets logged, and how long data is retained.
Most of our clients don't. That's the point — we build systems non-technical teams can actually operate. Every handover includes plain-language runbooks, monitoring dashboards, and a "what to do when X goes wrong" guide. If you have zero engineering capacity, an Embedded AI Engineer or AI Transformation Retainer is usually the right model. If you have at least one technically curious person, a Fixed-Scope Build often works.
If your tool has an API, a database, or a webhook — yes. We've integrated with Google Ads, Meta, BigQuery, Supabase, ClickUp, Slack, Gmail, Google Sheets, Webflow, Ahrefs, PostHog, and a long list of CRMs. For systems without APIs, browser automation or file-drop patterns usually work. We confirm integrations during Scope so there are no surprises in Ship.
This is exactly why we run DSSI. The Diagnose and Scope stages exist so we don't start a build we don't believe in. If during Diagnose we conclude your problem isn't a good fit for custom AI — whether because an off-the-shelf tool already solves it, or the ROI doesn't justify the build — we'll say so plainly. That's the only honest version of this work.

Find the build that's actually worth shipping.

A 30-minute diagnosis call with the team that's shipped 50+ production AI builds. You'll leave with a shortlist of candidates, rough timelines, and whether EDG scoping makes sense. No obligation.