Questions, answered
straight.

We build custom agentic AI workflows for Singapore businesses. Instead of giving you a chatbot, we deliver an AI agent that takes action — answering enquiries on WhatsApp, qualifying leads, processing invoices, sending follow-ups, updating your CRM. The work finishes itself; your team stops doing copy-paste.

If you have at least one repetitive workflow that costs your team hours per week — lead response, invoicing, scheduling, customer support — you're big enough. We've shipped to 5-person SMEs and to 200-person mid-markets. The question is workflow volume, not headcount.

Book a free 30-minute scope session — we walk through your operations, find the highest-leverage workflow (usually one that bleeds 10+ hours per week), and tell you honestly whether agentic AI is the right tool. If it isn't, we'll say so.

No. We build, deploy, and maintain it. You and your team interact with it the same way you'd interact with any teammate — through the channels you already use (WhatsApp, email, your CRM, dashboards).

In every deployment we've shipped, agentic AI replaces tasks, not people. Your team stops doing copy-paste work and moves up to judgement, relationships, and exception handling. Headcount usually stays flat while output grows — which is the real win in Singapore's labour-constrained market.

Pricing is always scope-based — we quote after the consultation. Every business has a different starting point: existing tools, data quality, workflow complexity, integrations needed. We won't put a generic price up because it would either over-promise or under-deliver. The free 30-minute scope session gives you a real number, not a guess.

Yes. Most of our SME clients claim the Enterprise Development Grant (EDG) through Enterprise Singapore, which can cover up to 50% of qualifying project costs. We help you scope the project to align with EDG's Innovation & Productivity pillar. [Learn more about EDG on Enterprise SG's official page](https://www.enterprisesg.gov.sg/financial-support/enterprise-development-grant).

Depending on the workflow and your sector, you may also qualify for the Productivity Solutions Grant (PSG) for pre-approved AI solutions, the Enterprise Innovation Scheme (EIS) offering 400% tax deductions on qualifying AI expenditure for YA2027 and YA2028, and the National AI Impact Programme which funds production AI deployments. We'll flag every grant you qualify for during scoping.

Everything you need to go from kickoff to live production: discovery and scoping, agent design and build, integrations to your existing tools, testing, deployment, training your team, and the first month of monitoring. Ongoing support is a separate monthly retainer — kept transparent.

Two: a small monthly compute cost for the LLM (typically SGD 200–800 depending on volume) and an optional support retainer for monitoring, tuning, and adding new capabilities. Both are quoted upfront with no surprises.

Yes — most builds are split across milestones (kickoff, mid-build, deployment) so cashflow stays manageable. We can also align payments with grant disbursement timelines if you're using EDG.

For a single, well-scoped workflow — lead response, invoice processing, first-line support — 4 to 8 weeks from kickoff to production. Multi-workflow builds run 8 to 16 weeks. The biggest variable is how clean your existing processes and data are, not the AI.

Four phases: Scope (we shadow your team to find the real problem, not the assumed one), Build (we design, train, and integrate the agent against your tools and data), Deploy (read-only first, then human-approval, then full autonomy as trust is earned), and Iterate (monthly reviews, refinement, scope expansion).

Yes. Weekly demos during the build phase. You see exactly what's being built, give feedback, course-correct. No big-bang reveals — there's no surprise at delivery.

You do. The agent is built around your business, deployed in your infrastructure (or one you approve), and runs on credentials you control. We're the builder, not the gatekeeper.

We tie milestones to defined outcomes — if a phase doesn't hit its KPI, you don't pay for the next phase until we make it right. We also do a small paid pilot with measurable goals before any big build, so you can validate ROI before committing.

We're model-agnostic — we pick the right LLM for the workflow. Most builds use Claude (Anthropic), GPT (OpenAI), or Gemini (Google), often combining models for different steps. We optimise for cost, latency, and accuracy on a per-workflow basis.

Almost certainly yes. We routinely integrate with HubSpot, Salesforce, Pipedrive, Xero, QuickBooks, Shopify, WhatsApp Business, Gmail, Outlook, Google Sheets, Notion, Slack, custom databases, and any tool with an API. If your tool doesn't have an API, we'll tell you upfront.

Yes — that's a core part of every build. We train the agent on real examples of your past emails, WhatsApp replies, and customer interactions so it sounds like you, not like a generic chatbot. Most clients can't tell the agent's replies from their own after a week.

We use the right tool for the job. Simple workflows can run on no-code platforms; complex agents with memory, scoped permissions, and audit logs require purpose-built code. Either way, you get full transparency on the architecture.

Yes — and clients almost always do. We design the foundation so the second and third workflows ship faster than the first. Most clients start with one workflow, prove ROI in 60 days, then expand.

Every system we ship is built to PDPA standards by default — consent flows, purpose limitation, retention controls, audit logs on every customer-data interaction, data residency you can point to, and a named human accountable for the agent's behaviour. Compliance is a default, not an add-on.

Yes. We map every build to IMDA's Model AI Governance Framework for Agentic AI (released January 2026) — covering accountability, human oversight, scoped permissions, observability, and incident reporting. Your governance documentation is delivered as part of the project.

Wherever you require. We support deployments in Singapore (SG-region cloud), in your own infrastructure, or in a hybrid setup. Data residency is part of scoping — you tell us the constraint, we work within it.

If you're in financial services, we layer the MAS FEAT principles (Fairness, Ethics, Accountability, Transparency) on top of PDPA and IMDA. We've built for clients with MAS-regulated workflows and understand the obligations.

Yes. Every agent we build has a full audit log: input received, decision made, action taken, outcome. You can review any interaction, replay any decision, and answer any PDPA enquiry from the data we capture.

Three layers protect you. Guardrails prevent out-of-scope actions before they happen. Human-in-the-loop approval kicks in for high-risk decisions until trust is established. Kill switch lets a named owner stop the agent immediately. Errors are logged, root-caused, and the rules are updated — same as you'd handle a junior employee's mistake.

We offer monthly support retainers covering monitoring, performance tuning, scope expansion, and rapid response when something needs fixing. Tier depends on your volume and criticality — quoted transparently.

Yes. Training is included in every build. Your team learns how to review the agent's work, when to step in, how to update its rules, and how to flag changes. We document everything in plain English.

For configuration changes (tone tweaks, response templates, new edge cases), yes — we ship every build with a control panel non-technical staff can use. For deeper logic changes, we handle them as part of the support retainer or a small change request.

You own the code, the data, and the credentials. We document everything to a standard another team could pick up. We don't lock you in — and frankly, clients who can leave easily are the ones who stay.

It varies by workflow. Most clients recover build cost inside the first year in reclaimed labour hours and recovered revenue (e.g. leads that no longer fall through the cracks). We define the target ROI with you during scoping and report against it monthly.

Every workflow ships with a defined KPI — first-response time, conversion rate, hours reclaimed, error rate, customer satisfaction. We track it from day one and review with you monthly. No vanity metrics.

A typical Singapore SME running a sales agent recovers 20–30 hours per month of staff time, sees first-response times drop from hours to under 60 seconds, and converts 15–25% more inbound enquiries simply because none get lost to office hours. An ops agent doing invoice reconciliation typically saves a full day per month at month-end.

Within the first 30 days of go-live for narrow workflows. Some metrics (first-response time, hours reclaimed) move immediately; others (conversion lift, customer retention) take a quarter to fully reflect.

Our scoping is honest — we'll tell you upfront if a workflow won't return the build cost in 12 months. If we both agree it should, and it doesn't, we work to make it right. We've never had a client unable to justify the investment, but the safeguard is in place.