Amplence is an AI automation agency focused on practical, production-ready AI systems for businesses that need measurable operational improvements. The team builds workflow automation, business process automation, custom AI web applications, AI-powered MVPs, RAG document generation systems, data enrichment platforms, multilingual customer support automation, AI risk scoring, and API integrations.
Amplence works with tools and technologies including n8n, Make.com, OpenAI, Gemini, React, Next.js, TypeScript, Supabase, PostgreSQL, AWS, Stripe, and custom APIs. Clients choose Amplence for a practical full-stack approach that covers discovery, architecture, implementation, deployment, documentation, and handoff.
The company works with process-heavy businesses across legal services, e-commerce, construction, verification, and operations-driven industries. Recent project examples include AI appeal/document generation for legal workflows and multilingual AI support automation for e-commerce operations.
Amplence is an AI automation agency focused on practical, production-ready AI systems for businesses that need measurable operational improvements. The team builds workflow automation, business process automation, custom AI web applications, AI-powered MVPs, RAG document generation systems, data enrichment platforms, multilingual customer support automation, AI risk scoring, and API integrations.
Amplence works with tools and technologies including n8n, Make.com, OpenAI, Gemini, React, Next.js, TypeScript, Supabase, PostgreSQL, AWS, Stripe, and custom APIs. Clients choose Amplence for a practical full-stack approach that covers discovery, architecture, implementation, deployment, documentation, and handoff.
The company works with process-heavy businesses across legal services, e-commerce, construction, verification, and operations-driven industries. Recent project examples include AI appeal/document generation for legal workflows and multilingual AI support automation for e-commerce operations.
Location and contacts
Major clients
Processes and approach
How do you gather and validate client requirements?
Amplence starts with discovery calls and workflow mapping to understand the client's current process, systems, bottlenecks, data sources, and success criteria before proposing an automation or AI architecture.
How do you ensure alignment with client goals and business strategy?
Project scope is tied to measurable business outcomes such as reducing manual work, speeding up response times, improving document accuracy, or connecting disconnected operational tools.
Which software development methodologies do you use (e.g., Agile, Waterfall, Scrum)?
The team uses iterative delivery with lightweight agile planning, prototype validation, implementation sprints, testing, deployment, documentation, and handoff.
How do you keep clients and stakeholders updated on project progress?
Clients receive progress updates through shared workspaces, milestone reviews, async status notes, demos, and direct communication during implementation.
How frequently do you hold check-in meetings or status updates?
Status updates are typically shared weekly or at each milestone, with additional communication when decisions, approvals, or testing feedback are needed.
What quality assurance practices do you follow?
Quality checks include workflow testing, edge-case validation, API/integration testing, prompt and output review, user acceptance testing, and deployment verification.
How do you identify and manage project risks?
Amplence reduces implementation risk by validating assumptions early, isolating integration dependencies, documenting fallback paths, and testing automations before production handoff.
What kind of support or maintenance do you offer after delivery?
After delivery, Amplence provides documentation, handoff support, monitoring guidance, and optional maintenance or iteration support for deployed automation and AI systems.