Frequently Asked Questions

Two things set us apart. First, we're vendor-neutral. Our agents search for truth across all available sources - not just the ones that pay us referral fees. Second, our AI executes work, not just generates suggestions. Most AI tools give you reports that collect dust. Our autonomous agents complete tasks, run workflows, and deliver outcomes, not just outputs. 

Traditional AI waits for instructions and responds to prompts. Agentic AI takes initiative. Our agents can plan multi-step workflows, use multiple tools, validate their own outputs, investigate anomalies, and complete complex tasks autonomously. Think of it as the difference between a chatbot that answers questions and a digital employee that does the work. 

Instead of one AI trying to do everything, we deploy specialized agents that work together - each with a specific role. For example, our Agentic Equity System uses a "Split Brain" architecture: one agent researches data, another audits data quality, and a third validates findings against real-world news. This creates built-in checks and balances. 

Many AI vendors push specific tools because they have partnership deals or reseller agreements. We're agnostic by design. We use whatever technology, data source, or approach works best for your specific problem. Our only loyalty is to the outcome you need. 

Our consulting service helps companies who know AI matters but aren't sure where to start. We audit your current workflows, identify high-impact automation opportunities, and deliver a prioritised roadmap—before you invest in building anything. You get clarity, not confusion. A plan, not a pitch.

A typical consulting engagement includes: Discovery Session (we understand your business, goals, and pain points), Workflow Audit (we map your current processes and identify bottlenecks), AI Opportunity Assessment (where can AI have the biggest impact?), ROI Estimates (projected time and cost savings), Prioritised Roadmap (what to tackle first, second, third), and Executive Summary (clear recommendations for leadership).

Consulting engagements are custom quoted based on scope. The investment depends on the complexity of your operations, the number of workflows to assess, and the depth of analysis required. Contact us for a conversation about your needs and we'll provide a clear proposal.

Not always. If you have a clear, well-defined problem, we can often move straight to building. Consulting is most valuable when you're unsure where AI fits, have multiple potential use cases, or need help building internal buy-in with a professional assessment and roadmap. 

You'll have a clear roadmap and can choose what to do next: Build with us (we implement the recommended solutions), Build internally (use our roadmap to guide your own team), or a Hybrid approach (we build some components, you handle others). There's no obligation to continue with us after consulting

A recent, highly complex, deeply accurate system. It autonomously analyses equity watchlists across 5 independent data sources, applies technical and fundamental scoring, validates findings against real-time news, flags binary risk events, and delivers a ranked, insight-to-action report. What takes a human analyst 2 weeks takes our agent 7 minutes. That's 700× faster—running 24/7 without fatigue, bias, or coffee breaks. 

Absolutely. We apply the same architecture to any knowledge work that follows patterns: Due diligence for M&A and investment decisions, Compliance monitoring for regulatory changes and risk signals, Report generation in your specific brand voice, Supplier evaluation and vendor risk assessment, Application processing and document review. If your skilled people are doing repetitive tasks that follow rules, those tasks can be automated. 

Yes. We don't use generic templates. We train and configure our agents using your historical documents, brand guidelines, and formatting requirements. The output looks and sounds like it was written by your best analyst—because it learned from them. 

Consulting: Typically 2-4 weeks depending on scope. Custom agent development: Typically 4-8 weeks depending on complexity, data sources, and integration requirements. We'll give you a realistic timeline after understanding your specific needs. 

We do both. Our AI Strategy Consulting helps you understand where AI fits and what to prioritise. Our development services build the actual systems. Many clients start with consulting to get clarity, then move to implementation. Others come with a clear problem and go straight to building. We meet you where you are. 

Yes. Our goal is "set it and forget it" infrastructure. While the backend may be sophisticated, your experience is simple: you receive outputs in formats you already use - spreadsheets, dashboards, reports, or alerts. You don't need to understand how the AI works to benefit from what it produces. 

Yes. We build the connective tissue -APIs, webhooks, and data pipelines, to bridge your existing tools with autonomous AI capabilities. Whether you're using financial terminals, legacy ERPs, cloud databases, or spreadsheets, we meet you where you are. 

Yes. We follow strict data handling protocols and can deploy within your own infrastructure if required. Your proprietary data is processed securely and is never used to train public models. We're committed to POPIA/GDRP compliance and can discuss specific security requirements during our initial conversation. 

We build for resilience. Our systems include automatic retry logic, failover protocols, and error handling. If a primary data source experiences downtime, our agents pause, retry, or switch to backup sources automatically - no manual intervention required. 

Our agents include built-in validation layers that cross-check findings against multiple sources. They flag uncertainty rather than guessing. When data is missing or suspicious, they investigate and correct - or clearly report the limitation. That said, we recommend human review for critical decisions. Our agents augment your team's judgment, they don't replace it. 

Step 1: Discovery Call - We discuss your operational challenges and identify whether consulting, a product, or custom development is the right fit. Step 2: Proposal - We define the specific deliverables, timeline, and investment. Step 3: Execution - For consulting: we audit, assess, and deliver your roadmap. For development: we build, test, and deploy your system. Step 4: Handover & Support - We ensure your team knows how to use the outputs and provide ongoing support as needed.

That's exactly what our AI Strategy Consulting is for. Many clients come to us knowing they have inefficiencies but not knowing which ones AI can solve. We'll help you identify the highest-value opportunities and prioritise what to tackle first. No obligation. No hard sell. Just an honest conversation about what's possible.