AI services built around business outcomes
We discover, prove, deploy and improve AI systems—from agents and automation to RAG, predictive models and production reliability.
AI Strategy & Roadmapping
We find the AI opportunities worth pursuing, rank them by value and feasibility, and turn the strongest one into a delivery plan.
- Use-case discovery
- Data readiness
- ROI prioritisation
- Delivery roadmap
AI Agents & Copilots
Task-focused agents that research, reason, use your tools and hand control to people at the right moments.
- Customer agents
- Internal copilots
- Tool use
- Human approval
Intelligent Automation
AI workflows that read, classify, draft, route and update work across the systems your team already uses.
- Workflow mapping
- n8n automation
- API integrations
- Exception handling
RAG & Knowledge Systems
Secure assistants grounded in your documents, policies and data, with citations, permissions and measurable answer quality.
- Enterprise search
- RAG pipelines
- Source citations
- Access controls
Predictive AI & Analytics
Forecasting, anomaly detection and decision-support systems that help teams act earlier and allocate resources better.
- Demand forecasting
- Risk scoring
- Anomaly detection
- Decision support
AI Reliability & MLOps
Evaluation, observability, security and cost controls that keep AI systems dependable after launch.
- LLM evaluations
- Guardrails
- Model monitoring
- Cost optimisation
A clear path from use case to impact
A transparent, evidence-led process that reduces risk before AI reaches your customers or operations.
Discover
We map the workflow, users, data, constraints and business target. You leave with a ranked opportunity and clear success metric.
Prove
We build a focused proof of value using real examples, then test quality, safety, latency and economics before scaling.
Deploy
We integrate the AI into your operating workflow with permissions, human review, monitoring and team enablement.
Improve
We measure live performance, review failures and continuously improve prompts, retrieval, models and automation logic.
Straight answers before you start
What to expect when you explore, validate and deploy an AI system with Grow Tech.
What kind of AI projects does Grow Tech deliver?+
We deliver AI agents and copilots, intelligent workflow automation, RAG knowledge systems, document intelligence, predictive models, voice AI, and the evaluation and monitoring needed to run them reliably.
Can you help us decide where to use AI?+
Yes. An AI opportunity sprint maps your workflows, data and constraints, then ranks use cases by business value, feasibility and risk. The output is a practical roadmap and a recommended proof of value.
How quickly can we test an AI idea?+
A focused proof-of-value sprint typically takes two to four weeks. Timing depends on data access, integration complexity and the level of accuracy or control the use case requires.
Do you work with our existing tools and data?+
Yes. We connect AI to the systems your team already uses through APIs and automation platforms, while respecting access controls, data boundaries and human approval steps.
How do you make AI systems reliable?+
We create representative test sets, define quality thresholds, add guardrails and human escalation, and monitor task success, answer quality, latency and cost after launch.
Can Grow Tech work with teams outside Nepal?+
Yes. Grow Tech is based in Kathmandu and works remotely with organisations worldwide, with clear milestones, demonstrations and documentation throughout delivery.
Turn your strongest AI opportunity into a working system.
Tell us where work is slow, repetitive or difficult to scale. We'll respond within one business day with a practical next step.