Joseph Glanville
Joe works on the systems side: multi-agent orchestration, internal tooling, lead operations, and the question of what to build versus what to buy. He writes on where automation actually pays, why most AI projects fail before the model is chosen, and how to move from scripts nobody owns to runbooks a team can operate.
25 articles for Axonari
AI is moving beyond chatbots, what businesses need to know.
The AI tools businesses need in 2026 aren't chatbots: they're autonomous agents that manage tasks, route leads, and generate reports. Here's what's changed.
Five workflows your operations team can automate this month.
Invoice routing, expense categorisation, report generation, five operations workflows that save £150K+ annually and can be automated in weeks, not months.
Multi-agent AI teams, how to orchestrate multiple AI agents without losing control.
Single AI agents fail on complex workflows. Axonari's guide to building multi-agent systems with orchestration layers that stay reliable at scale.
Why 80% of AI projects fail before they ship, and how to avoid it.
Most AI project failures are organisational, not technical. Axonari breaks down the six root causes and what the successful 20% do differently.
AI automation for US law firms, ABA-compliant workflows for 2026.
US associates spend 60% of their time on tasks that don't require legal judgment. Six AI automation workflows compliant with ABA Model Rules and state bar guidelines.
AI automation for US education, FERPA-compliant workflows for 2026.
US educational institutions spend 40% of staff time on administrative tasks. Six AI automation workflows compliant with FERPA, COPPA, and state education privacy laws.
AI automation in education, from enrollment to student support.
Education institutions using AI reduce enrollment processing by 60% and improve student retention by 25%. Six compliance-safe workflows that deliver real results.
AI automation in manufacturing, from predictive maintenance to quality control.
Manufacturing plants using AI automation reduce unplanned downtime by 45% and defect rates by 35%. The six workflows driving real ROI in 2026.
AI automation for law firms, from document review to client intake.
Law firms using AI cut document review time by 70% and reduce client intake from days to hours. The compliance-safe workflows that deliver real ROI.
The AI literacy imperative, why every non-technical professional must get fluent in 2026.
Regulation, compensation data, and the collapse of the SaaS model have decided it: AI literacy is no longer optional for non-technical professionals in 2026.
AEO for US businesses, how to get your brand cited in ChatGPT and Google AI Overviews.
58% of US B2B buyers ask ChatGPT before they search Google. Axonari's AEO framework for getting your brand into the answer, not just the results.
From SaaS chaos to composable control, rethinking internal platforms.
SaaS traps you in someone else's roadmap. Custom monoliths trap you in the past. Composable platforms are how smart organisations avoid both in 2026.
The cost problem in agentic AI, why autonomous workflows get expensive fast.
AI agents that plan, use tools, and self-correct sound powerful, until the invoice arrives. How to control the hidden costs of agentic AI at production scale.
Runbooks not random scripts, building automation that doesn't collapse at scale.
Most automation failures aren't model failures: they're infrastructure failures. How to move from scripts to robust runbooks that survive scale, incidents, and AI agents.
AI automation governance, why most AI systems fail in production and how to fix it.
Most AI production failures come from missing governance, not bad models. The framework Axonari uses to keep automation controllable, auditable, and reliable at scale.
Build vs buy vs no-code, how companies choose the right automation strategy in 2026.
Should you build custom automation, buy a SaaS platform, or use no-code tools? Real case studies from Google and Microsoft, and a decision framework for 2026.
Generative BI, ask your data a question and get a dashboard instantly.
Generative business intelligence tools replace manual dashboards with plain-language queries. How SMBs are making data-driven decisions with AI in 2026.
The rise of internal tool builders, why every growing company needs one.
Internal tool builders save $180K/year and ship 3x faster than waiting on developers. The critical role most fast-growing companies are still missing.
Stop losing leads in email chaos, automate lead routing across CRM, Slack and email.
Your sales team is missing deals while leads sit unassigned in inboxes. How to connect CRM, Slack, and email into one system that assigns leads in seconds, not hours.
AI chatbots vs human SDRs, what should actually be automated.
AI should run the top of the funnel. Humans should own the high-value conversations. The automation boundary that the best sales teams in 2026 are drawing.
AI agents vs AI assistants, which one does your business actually need.
AI assistants wait for prompts. AI agents execute autonomously. Choosing the wrong one wastes budget and frustrates your team. How to decide in five minutes.
Why most AI chatbots fail at lead conversion, and how to fix it.
Most AI chatbots convert at under 2%. The three reasons they underperform and what Axonari's team deploys instead.
AI-powered lead operations, automating every step from capture to close.
A fully automated lead pipeline that captures, qualifies, routes, and follows up without manual intervention. How Axonari builds them and what they cost.
How AI agents are replacing manual work, real examples and ROI data.
From customer service to financial reporting, five job functions where AI agents consistently outperform manual processes. Companies report 40–60% time savings on routine tasks.
Shadow AI, the hidden compliance risk of unmanaged generative tools in the enterprise.
Your employees are already using AI tools you haven't approved. Shadow AI is a real compliance and security risk. Here's how enterprise teams are getting ahead of it.