AI Automation & Agents

Build Smart Systems That Save Time and Scale Results

At GenFutures Lab, we help you automate repetitive tasks and deploy lightweight AI agents that work around the clock - from content repurposing and research assistance to customer support and operations.

Whether you need a simple no-code setup or a more advanced intelligent agent using CrewAI, LangChain, Relevance AI or custom GPTs, we move fast, without sacrificing quality or compliance.

Our Offerings

What We Offer

Task Automation

Automate manual workflows like content creation, summarisation, inbox triage, customer FAQs, and market research. This will free up time for strategic work.

Lightweight AI Agents

Build autonomous agents that collaborate, plan, and execute. Use cases include research bots, content assistants, lead qualifiers, proposal writers and internal knowledge agents.

No-code/Low-code Integration

We connect your tools (e.g. Zapier, Make, Google Workspace, Slack) into intelligent workflows - no developer needed. Runbooks and playbooks included for long-term success.

2-Week AI Sprint Package

Need results fast? In just 14 days, we scope, design, and deploy working agents or automation systems tailored to your goals.

Why Choose Us?

Expertise Across Sectors

Experience in healthcare, finance, retail, and more.

Ethical AI Practices

Commitment to transparent and responsible AI deployment.

Proven Results

Demonstrated improvements in productivity and cost savings.

Ready to transform your operations?

Contact us to schedule a consultation and discover how AI automation can benefit your organisation.

Tools

Tools We Use

Our Offerings

Our 14-Day AI Agent Sprint Workflow

01

Human Task Decomposition (Day 1–2)

We start by observing how the task is currently done by humans. What’s the real-world behaviour? What decisions are made? What steps are repeated? We break it down into sequential steps and identify what success looks like.

02

Agentic Blueprinting (Day 3–5)

Next, we convert the task into a structured, visual workflow. Using flowcharts or journey maps, we define the roles, logic, data sources, and decision points for your agent. This forms the foundation for responsible, explainable AI behaviour.

03

Build, Test, Refine (Day 6–8)

Using tools like CrewAI, Relevance AI, and LangChain, we bring your agent to life. We test across real inputs and edge cases, refining as we go.

04

Integrate & Automate (Day 9–11)

We connect the agent into your existing systems using no-code or low-code tools (e.g. Zapier, Make, Slack, Notion). We also design guardrails, monitoring, and fallback options.

05

Train & Transfer (Day 12–13)

We walk your team through how the agent works, how to use it, and how to improve it over time. Runbooks, prompt libraries, handover docs and how-to videos included.

06

Launch & Learn (Day 14)

We go live and reflect. Together, we evaluate early outcomes against initial success criteria and define next steps for scaling or iterating.

Coded, fully bespoke agents and advanced multi-step systems can also be delivered. Timelines and scope will vary based on your specific requirements.

Why Work With Us?

Coming Soon: New Case Study

 

We’re currently working with Crowd Potential on a mini AI agent implementation project designed to streamline their internal workflows and improve operational efficiency.

Full case study details will be published soon, including a testimonial from Rochelle Haynes, CEO of Crowd Potential, on her experience collaborating with GenFutures Lab.

Stay tuned for insights into how intelligent agents are delivering real results.