Multi-agent orchestration
CrewAI
QwertyBit builds multi-agent systems with CrewAI for workflows that need specialist agents planning, executing, and reviewing in sequence — not a single oversized prompt.
QwertyBit builds multi-agent systems with CrewAI for teams whose workflows are too structured for a single prompt but too dynamic for hand-coded pipelines — planner / executor / reviewer shapes, cross-domain research agents, and role-based autonomous workflows.
The multi-agent question
Most real business workflows are not a single prompt. They are a short chain: triage, retrieve, decide, execute, verify. CrewAI gives us a clean way to express that chain as a team of specialised agents with explicit roles and hand-offs.
Where CrewAI earns its place at QwertyBit
- Research-and-draft workflows. One agent gathers, one writes, one reviews. The final output is better than a single-call pipeline.
- Risk-scoring engines. A classifier agent, a retrieval agent, and a writer agent collaborate to produce a report with evidence.
- Marketing analytics briefs. Agents divide the problem — metric spotter, cause hypothesiser, narrative writer.
When we do not use CrewAI
Not every workflow needs multi-agent orchestration. A simple "extract these 10 fields from a PDF" job is better served by a tight single-prompt pipeline. We reach for CrewAI when the decomposition of the problem is genuinely useful, not because multi-agent systems are fashionable.
How we operate it in production
Every CrewAI workflow we ship comes with observability for each agent step, a cost breakdown per agent per run, and an eval harness that tests the full crew end-to-end. Without those, an agent team becomes an unobservable black box very quickly.
Further reading
- AI-powered SaaS development: how to stay ahead of the competition — where multi-agent systems create defensibility.
- Building AI agents for customer support and business automation — concrete examples of CrewAI in production.
- CrewAI's own documentation and GitHub repo.
Work with us on CrewAI
Multi-agent systems are part of our core AI agent development service. If you're thinking about a workflow that might need more than one agent — research, compliance review, sales enablement, content ops — book a business audit and we'll walk through whether a crew shape fits and what it would cost.
Further reading
Frontier LLMs
Anthropic
QwertyBit builds production AI agents on Anthropic Claude for high-reasoning, long-context, and compliance-aware workflows where steerability matters.
Version control & CI
GitHub
QwertyBit ships every line of code to your GitHub from commit one — transparent delivery, PR reviews, CI, and no vendor lock-in. Custom software engineering that your team inherits cleanly.
Delivery & automation
Linear
QwertyBit runs every engagement in Linear — and integrates Linear into client workflow automation so roadmap, issues, and releases flow through AI-driven pipelines.
Ready to see where agents can take cost out of your business?
Tell us about the process you want to optimise. Vlad personally reviews every brief and replies within one business day.