Experimenting
Teams are testing AI tools informally, often without clear ownership, governance, or visibility.
AI that runs document analysis, knowledge search, and decision support, deployed on your infrastructure, compliant with your regulators, live in 90 days.
AI that runs document analysis, knowledge search, and decision support, deployed on your infrastructure, compliant with your regulators, live in 90 days.
Your team has the data.
The insight is still days away
AI adoption in Asia’s regulated industries is stalling, not because the technology isn’t ready, but because the infrastructure to deploy it safely isn’t there.
Your team has the data.
The insight is still days away
AI adoption in Asia’s regulated industries is stalling, not because the technology isn’t ready, but because the infrastructure to deploy it safely isn’t there.
Your team has the data.
The insight is still days away
AI adoption in Asia’s regulated industries is stalling, not because the technology isn’t ready, but because the infrastructure to deploy it safely isn’t there.
Where does your organisation
sit on the AI curve?
Every organisation is at a different stage of AI readiness. The gap between experimenting and actually running AI in production is where most enterprises get stuck. Knowing where you are is the first step to moving forward with confidence.
Teams are testing AI tools informally, often without clear ownership, governance, or visibility.
A focused AI deployment is introduced into one workflow with measurable goals and outcomes.
AI becomes part of daily operations, helping teams shift toward faster and smarter ways of working.
AI adoption expands across departments with secure, auditable, and governed infrastructure.
AI becomes a strategic capability that strengthens innovation, efficiency, and competitive advantage.
Find out where your organisation sits, in 30 minutes.
Most organisations we speak with are between Experimenting and Piloting. The gap to Transitioning is where we work.
What changes when AI
actually runs your workflows
Your data never leaves.
Your governance never breaks
Every AI interaction is masked, logged, audited, and traceable. Sensitive data never reaches an external model unmasked.
An employee submits a document, asks a question, or triggers a workflow. The request is intercepted by the sovereign layer before anything reaches an external model.
PII, account numbers, medical information, and NIC numbers are replaced with tokens before the request leaves your perimeter. The AI receives context, never your customer’s real data.
The platform selects the appropriate model, including OpenAI, Gemini, Anthropic, or a local LLM on your infrastructure, based on the task, sensitivity, and cost parameters you define.
The model’s output is de-tokenised internally. Your employee receives the full answer while every step is logged, including model used, policy applied, and data masked.
Usage by team, department, and user is updated. Budget limits, audit trails, model activity, and governance insights are available for regulator review when required.
What changes when AI
actually runs your workflows
AI adoption in Asia’s regulated industries is stalling, not because the technology isn’t ready, but because the infrastructure to deploy it safely isn’t there.
The platform reads any submitted document including loan applications, ID documents, cargo manifests, and vendor accreditation packs. It extracts key fields, cross-checks for inconsistencies, scores accuracy, and flags issues so staff only review exceptions.
Connect Sprout to policy documents, annual reports, core banking data, and regulatory circulars. Employees can ask questions in plain language and receive instant, cited answers from internal data without raising IT tickets or waiting for analyst support.
A single complaint on social media can affect trust, bookings, deposits, and customer perception. Sprout monitors brand mentions across social platforms, classifies them by severity, and creates CRM response tickets within minutes.
For airlines, banks, telcos, and microfinance institutions hiring at scale, Sprout reads every CV, scores candidates against role criteria, flags behavioural signals, and delivers a ranked shortlist before HR opens their inbox.
Your data never leaves.
Your governance never breaks
Every AI interaction is masked, logged, audited, and traceable. Sensitive data never reaches an external model unmasked.
An employee submits a document, asks a question, or triggers a workflow. The request is intercepted by the sovereign layer before anything reaches an external model.
PII, account numbers, medical information, and NIC numbers are replaced with tokens before the request leaves your perimeter. The AI receives context, never your customer’s real data.
The platform selects the appropriate model, including OpenAI, Gemini, Anthropic, or a local LLM on your infrastructure, based on task, sensitivity, and cost parameters you define.
The model’s output is de-tokenised internally. Your employee receives the full answer while every step is logged, including model used, policy applied, and data masked.
Usage by team, department, and user is updated. Budget limits, audit trails, model activity, and governance insights are available for regulator review when required.
Your data never leaves.
Your governance never breaks
Every AI interaction is masked, logged, audited, and traceable. Sensitive data never reaches an external model unmasked.
KYC & onboarding automation · Loan document analysis · Compliance report drafting · Internal policy Q&A · AML transaction narrative
Policy research & brief preparation · Procurement document analysis · Citizen service Q&A · On-premise local LLM for classified workloads
Customer complaint intelligence · Network incident RCA automation · Contract analysis · Subscriber PII masking for all AI workflows
Cargo onboarding & document verification · Crew licence tracking · Operations knowledge assistant · Reputation monitoring
Clinical note summarisation · Lab result context assembly · Internal policy assistant for clinical staff · Patient data always on-premise
Portfolio risk narrative generation · CV screening for field agent hiring · Board report automation · Regulatory compliance support.
KYC & onboarding automation · Loan document analysis · Compliance report drafting · Internal policy Q&A · AML transaction narrative
Policy research & brief preparation · Procurement document analysis · Citizen service Q&A · On-premise local LLM for classified workloads
Customer complaint intelligence · Network incident RCA automation · Contract analysis · Subscriber PII masking for all AI workflows
Cargo onboarding & document verification · Crew licence tracking · Operations knowledge assistant · Reputation monitoring
Clinical note summarisation · Lab result context assembly · Internal policy assistant for clinical staff · Patient data always on-premise
Portfolio risk narrative generation · CV screening for field agent hiring · Board report automation · Regulatory compliance support.
Your data never leaves.
Your governance never breaks
Every AI interaction is masked, logged, audited, and traceable. Sensitive data never reaches an external model unmasked.
A structured 90-minute session with your operations and technology leads. We map your five most document-heavy workflows, score them by volume and business impact, and agree the highest-value starting point together.
Our solutions architect deploys inside your environment. One workflow. One department. Specific, measurable success criteria agreed in writing before we begin. Weekly progress reports to your sponsor.
We measure and document every metric — time saved, errors reduced, decisions accelerated. This becomes your internal business case, owned by you, for the platform conversation with your leadership team.
When the first workflow delivers, the platform conversation begins on its own merit — more workflows, more departments, full governance layer. On evidence, not on a vendor’s roadmap.
Start focused. Prove value. Expand with confidence.
Built for the regulations
your regulators are writing now.
Every market in South and Southeast Asia is tightening AI governance requirements. The organisations that build the right infrastructure now will be the ones regulators trust to move fastest later.
Our architecture is designed for alignment with these regulatory frameworks. Certification requirements vary by jurisdiction and deployment configuration. We work directly with your compliance and legal teams to address specifics for your environment.
If your APIs are sitting idle, you’re leaving revenue to OTT players. It’s time to activate your network, empower your market, and monetize at scale.