AI Development
AI Development Services
Add assistants, workflow automations, and AI customer service automation that feel native to your product—delivered with US working-hour overlap (EST/PST) and production-ready reliability.
Overview
What this service is
We design AI features around real user journeys: support resolution, lead qualification, document workflows, operator copilots, and internal knowledge search.
Our delivery is production-first: safe tool access, permission-aware retrieval, eval tests, monitoring, and fallback behavior so users aren’t blocked when AI is uncertain.
You get source code + handoff notes and a system your team can extend safely as models, prompts, and content evolve.
Start Small
Start small in 7 days
Three pilot-friendly options that reduce risk and ship value fast. Choose one, share access, and we deliver a production-ready baseline.
Standard
AI delivery standard
Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.
Logging + tracing
Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.
Guardrails + safety
Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.
Evals + regression tests
Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.
Cost + latency controls
Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.
Documentation + handoff
Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.
Security-first integration
Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.
Benefits
What you get
Model-agnostic delivery (OpenAI, Claude, Bedrock)
AI workflow automation services USA teams use for tickets, CRM, and ops
RAG knowledge bases with citations and permission-aware retrieval
Tool calling + approval gates for safe actions
Document parsing & structured extraction (PDFs, forms, emails)
Voice + vision features when useful
Evaluation, monitoring, and iteration (quality improves over time)
Features
What we deliver
Agents and copilots
Workflow-first assistants that can answer, route, and act via tools—shipped with guardrails and measurable quality.
RAG Knowledge Bases
Retrieval systems that answer from your docs with citations, excerpts, and permission-aware access when required.
Workflow automation and integrations
Automate ops and support tasks using structured steps, approvals, retries, and audit-friendly logs.
Document Intelligence
Extract data from PDFs, forms, and unstructured content—normalize it into clean JSON your systems can use.
Voice & Vision
Speech-to-text, text-to-speech, and image understanding for voice notes, call summaries, or visual inputs.
Evals, monitoring, and safety layer
Evals, regression tests, red-team scenarios, and analytics so accuracy improves over time and failures are visible.
Proof
Built for production
Security-first integrations
Tool allowlists, RBAC alignment, audit logs, and permission-aware retrieval patterns—built to reduce leakage and unsafe actions.
Latency + cost optimisation
Caching, streaming, retrieval tuning, and model routing so production usage stays fast and cost-aware.
Enterprise-ready operations
Tracing, evals, feedback loops, and governance controls so quality improves over time and failures are visible.
Explore
Explore related services
Process
How we work
Discovery
Requirements gathering and planning
Design
UI/UX design and prototyping
Development
Iterative sprints with demos
Launch
Deployment and support
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
AI Customer Service Automation
Grounded answers from your docs and tickets, deflection where safe, and clean human handoff when confidence is low.
Internal Knowledge
Search + Q&A across SOPs, wikis, and docs so teams find answers fast—with citations and access control.
Ops Automation
Summaries, routing, tagging, and structured extraction that reduce manual work while keeping reviews in the loop.
Product Intelligence
Natural language queries over product data, dashboards, and events—turning metrics into decisions.
AI Case Examples
Micro case studies (anonymous)
A few safe examples of outcomes we build for real operations—no client names, just results.
Secure Mobile Solution in Australian Defence Ecosystem
Problem: Secure data workflows were required in a regulated environment with strict access controls.
Solution: Hardened architecture with strict auth, encrypted storage, and audit-friendly engineering patterns.
Outcome: Deployed securely within a regulated ecosystem with clear handoff and operational guidance.
AI Knowledge Base Across 2,000+ Pages
Problem: Teams needed fast answers across long PDFs, but search was slow and results were inconsistent.
Solution: RAG with hybrid retrieval and reranking, plus grounded answers and safer fallback behavior.
Outcome: Reliable answers with <10s response times and measurable improvements on real queries.
Ops Automation with AI + n8n
Problem: Manual approvals and CRM syncing created delays and data inconsistencies across tools.
Solution: Event-driven automation with validation gates and AI-assisted classification where it improved routing.
Outcome: Reduced manual workload significantly with more reliable workflows and operator visibility.
Gigs
Relevant gigs
Explore
Related solutions & technologies
Useful next pages if you’re planning an AI pilot or scaling this into a larger product.
Related solutions
FAQ
Frequently asked questions
Timeline depends on scope. MVPs typically take 8-12 weeks, while larger projects can take 4-6 months. We provide detailed timelines during the estimate phase.
We offer both fixed-price and time-and-materials pricing. Fixed-price works best for well-defined projects, while T&M is ideal for evolving requirements.
Yes, we offer maintenance packages including bug fixes, security updates, and feature enhancements after launch.
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Regional
Delivery considerations for your region
Compliance & Data (US)
For US teams, we build with auditability in mind: clear access boundaries, least-privilege roles, and reviewable operational controls.
We can align delivery with SOC 2 / ISO-friendly practices (without claiming certification): evidence-ready logs, secure-by-default config, and clear ownership.
- SOC 2 / ISO-friendly implementation patterns (no certification claims)
- Least-privilege access and permission boundaries
- Security review checklists for auth, payments, and data flows
- PII-safe logging + incident response playbooks (on request)
- Retention and deletion flows where required
- NDA + vendor onboarding docs on request
Timezone & Collaboration (Americas)
We support teams across the Americas with meeting windows that work for EST/CST/MST/PST.
We keep delivery predictable with weekly milestones, concise async updates, and written decisions to reduce calendar load.
- Americas overlap with EST/PST-friendly windows
- Async-first updates with written decisions
- Weekly milestone demos + change control
- Fast turnaround on blockers and clarifications
- Clear owner per workstream and escalation path
Engagement & Procurement (US)
US-friendly engagement structure: clear SOWs, milestone billing, and invoice cadence that fits typical procurement workflows.
If you need vendor onboarding artefacts, we can provide security posture summaries and delivery process documentation.
- USD invoicing and milestone-based payment schedules
- SOW + scope lock options for fixed-scope work
- Time-and-materials for evolving requirements
- Procurement-ready documentation on request
- Optional paid discovery to de-risk delivery
Security & Quality (US)
We ship with a security-first checklist and performance budgets—so releases stay stable under real traffic.
Expect clean PRs, reviewable changes, and production-ready testing from day one.
- Threat-aware checks for auth, roles, and sensitive data flows
- CI-friendly testing: unit + integration + critical path smoke tests
- Performance budgets (Core Web Vitals-minded) and bundle checks
- Structured logging + error tracking hooks (Sentry-ready)
- Rollback-safe releases and clear release notes
Want a production-ready AI build?
Tell us what you want to automate and what tools you use—we’ll propose a rollout plan with measurable success metrics and USD-based delivery.
Security-first approach. Clear handoff. No-pressure consultation.