The agent
Planning, tool use, and memory — the reasoning core that decides what to do next and acts on it.
- Multi-step planning
- Tool and API access
- Scoped permissions
AI-first engineering agency
We build AI agents that do real work.
Flash Cycle designs and ships agentic AI systems — Claude-powered autonomous agents, workflow automation, and custom AI software engineered to execute, not just chat. Production-grade AI, delivered in cycles.
Agentic systems
Workflow automation
Custom AI software
Evals & reliability
Our partners, the platforms & models we build on
OpenAI
Anthropic
Hugging Face
Databricks
CURSOR
ATLASSIAN
LangChain
Vercel
What we do
Three layers, one team — from the model to the interface.
An agent is only as good as the system around it. We build all three layers, so nothing falls through the gap between a model that reasons and a product people trust.
The knowledge
Retrieval over your documents, databases, and systems — so answers are grounded in your source of truth, not the model's guess.
- RAG pipelines
- Vector and hybrid search
- Citation and traceability
The software around it
The product, the infrastructure, and the observability that turn a working prototype into something your team depends on.
- Full-stack product
- Deployment and scaling
- Monitoring and cost control
The Flash Cycle methodology
Discover
We map your workflows, data, and edge cases — pinpointing exactly where an autonomous agent creates leverage and where it must never act alone.
Design
Agent architecture, tool interfaces, memory, and guardrails. We design the system diagram before a single token is generated.
Build
Claude-powered agents, orchestration with LangGraph and MCP, RAG over your knowledge — engineered to production standards, not prototypes.
Validate
Rigorous eval suites, adversarial testing, and human-in-the-loop review. We prove reliability with numbers before anything goes live.
Scale
Observability, cost controls, and continuous improvement loops. Your agents get measurably better every cycle as real usage compounds.
Discover
Services
Everything you need to ship AI, under one roof.
Six disciplines that cover the whole distance from first principles to production scale.
◍
Agentic AI development
Autonomous, multi-step systems that reason, plan, and act across your tools with safety rails built in.
Planning · Tools · Memory⬡
AI agents
Single-purpose agents that own a job end to end — research, support, sales, operations — and do it reliably.
Autonomous workers⟳
Workflow automation
We replace brittle scripts and manual ops with AI workflows that adapt, recover, and escalate intelligently.
Orchestration◇
Custom AI software
Full-stack products with intelligence at the core — built to your domain, your data, your standards.
Product engineering◈
RAG & knowledge systems
Retrieval that grounds every answer in your own source of truth, with citations your team can verify.
Grounded retrieval✦
Evals & reliability
Test suites, adversarial probes, and production monitoring that turn "it seems to work" into a number.
Measured qualityCapabilities
The agents we build
Purpose-built autonomous workers, tuned for your domain and held to measurable standards.
A·01
Research & analyst agents
Sweep sources, verify claims, and synthesise cited briefs in minutes.
A·02
Customer support agents
Resolve tickets end to end with retrieval, actions, and graceful handoff.
A·03
Sales & SDR agents
Qualify, enrich, and draft outreach grounded in your live pipeline.
A·04
Operations agents
Run recurring back-office workflows across your internal systems.
A·05
Coding & engineering agents
Ship code, review PRs, and maintain services inside your stack.
A·06
Data & analytics agents
Query, model, and explain data in natural language — on demand.
Proof
Outcomes we can point to.
Real systems, in production, with the numbers to back them.
Fintech2025
Autonomous reconciliation agent
An agentic system that reconciles ledgers across six sources, flags anomalies, and writes audit notes.
92%manual work removed
3.4×faster close
SaaS · Support2025
Tier-1 support that resolves
A Claude-powered support agent with RAG and tool access that closes tickets instead of deflecting them.
71%full auto-resolution
-58%response time
Healthcare ops2024
Prior-auth workflow engine
Multi-agent automation that drafts, checks, and routes prior-authorisation packets with human sign-off.
4.1khrs saved / mo
99.2%accuracy at review
40+agents shipped to production
6 wksaverage time to production
98%eval pass rate at handover
100%client-owned code and IP
Why Flash Cycle
Built like an engineering team. Not a prompt shop.
Most AI agencies ship demos. We ship systems — with the evals, observability, and guardrails that make a board comfortable putting an agent in front of real work.
01
Evals before launch
Every agent ships with a test suite that proves reliability in numbers, not vibes.
02
Safety by design
Guardrails, scoped permissions, and human-in-the-loop where the stakes demand it.
03
Senior engineers only
The people scoping your project are the ones building it. No handoffs to juniors.
04
You own everything
Your code, your models, your data, your infrastructure. No lock-in, ever.
The stack
Engineered on the frontier.
Best-in-class models and infrastructure, composed into systems that hold up in production.
ClaudeFrontier reasoning
OpenAIModels & tooling
LangGraphOrchestration
MCPTool protocol
RAGGrounded retrieval
Vector DBsSemantic memory
Testimonials
In their words
“Flash Cycle delivered an agent that genuinely runs a chunk of our operation. The eval discipline is what made our board comfortable putting it in production.”
“We'd been burned by AI demos before. This was the first team that talked like engineers and shipped like one. Six weeks, in production, measurable ROI.”
FAQ
The things clients ask us first.
What exactly is an “agentic” AI system?
An agentic system can plan, use tools, take actions, and adapt across multiple steps to complete a goal — not just respond to a single prompt. We build agents that operate inside your tools and data, with guardrails defining what they can and can't do autonomously.
How long until something is in production?
Most engagements reach a production-ready first agent in 4–8 weeks. The Flash Cycle methodology front-loads discovery and design so the build phase is fast and the validation phase is rigorous.
Which models and tools do you use?
We're model-agnostic but Claude-first for reasoning-heavy work, complemented by OpenAI where it fits. Orchestration runs on LangGraph, tool access via MCP, and knowledge grounding via RAG over vector databases. We choose per problem, not per fashion.
How do you handle reliability and safety?
Every agent ships with an eval suite, scoped permissions, and human-in-the-loop checkpoints where stakes are high. We measure pass rates, monitor in production, and improve continuously.
What does an engagement cost?
Engagements typically run $10k–$50k per month depending on scope, system complexity, and the level of ongoing scale and support. We'll scope precisely on the discovery call.
Do we own the IP and infrastructure?
Completely. Your code, models, data, and infrastructure are yours. We build on your accounts and hand over everything. No lock-in.
Start the cycle
Let's build an agent that does the work.
Book a discovery call. We'll map where agentic AI creates the most leverage for your team — and show you exactly what a Flash Cycle engagement looks like.