Pilot purgatory
Reasoning models look impressive in a demo but lack the reliability to run unattended. Without a safety net, promising proofs-of-concept never graduate to production.
Agents can act. The hard part is trusting what they do — when a plausible-looking output can quietly be wrong, approvals sit in email, and oversight falls behind the automation itself. Join us to see how enterprises are putting people back at the right control points, in one governed worklist, without replacing the systems they already run.
Three fields. That's it.
Across industries the pattern repeats: the models work, the demo impresses, and then the programme stops short of production. These are the four reasons we hear most.
Reasoning models look impressive in a demo but lack the reliability to run unattended. Without a safety net, promising proofs-of-concept never graduate to production.
Most human-in-the-loop today is email-driven or buried in siloed application inboxes. The dead time between an agent asking and a human answering becomes the new bottleneck.
When departments deploy their own ungoverned agents, access controls fragment. An agent that can query data or send mail can be manipulated into doing harm.
The EU AI Act and emerging US regulation increasingly mandate effective human oversight for high-risk AI systems. A black-box decision is no longer defensible to an auditor.
A human worker cannot effectively govern a fleet of agents while toggling between ten browser tabs. Fragmented oversight destroys the very efficiency the agents were deployed to create.
Source: BP3 Global, Brazos Agentic Hub market analysis, 2026.Four themes, roughly an hour, and a straight conversation about what it takes to move agentic AI past the pilot stage.
Why greater agent capability increases — rather than reduces — the need for human oversight, and what that means for your automation roadmap.
How the Brazos Agentic Hub brings agent, BPM, RPA and system tasks into one prioritised list — with agent-to-human handoffs, approvals in context, a governed agent catalogue, and an audit-ready decision trail.
The dual-engine architecture and Elasticsearch-backed universal task list that keep the worklist fast whether tasks originate in SAP, Salesforce, UiPath or Camunda — without replacing any of them.
Data readiness, model neutrality, observability and change management — the practical prerequisites for scaling past the proof of concept.
Whether work originates in a legacy SAP workflow, a UiPath robot, a Camunda process or a reasoning agent, it lands in one prioritised list with the context a human needs to decide in seconds. These are the kinds of high-stakes, regulated scenarios it's built for.
High-risk AI systems must be designed so they can be effectively overseen by natural persons during the period in which they are in use.
Enterprises are committing budget to AI at pace — and hitting the same wall. These are the figures shaping the conversation we'll be having on the day.
The share of companies planning to grow AI spend — while most agentic initiatives remain stuck in pilot.
Leaders naming cybersecurity as the single greatest obstacle to achieving their AI strategy goals.
Reduction in end-to-end process dead time observed when the worklist is unified rather than fragmented.
Business leaders who would maintain or increase AI investment even in a recession.
Figures from BP3 Global's Brazos Agentic Hub market analysis, 2026. Full sourcing shared with attendees.
Governed autonomy is a cross-functional problem. This session is deliberately pitched so operations, architecture, risk and enablement leaders can all take something back to their teams.
You own the teams building and deploying automation, and you need pilots that turn into measurable ROI. You'll see how agents become first-class participants in a workflow rather than isolated chatbots that break the process chain.
You're designing the stack for the next five years and you're tired of hype. Expect a straight conversation about vendor and model neutrality, end-to-end observability, and connecting agents to systems that predate them.
You're the gatekeeper — and you're fighting shadow AI daily. We'll show why an orchestration layer is a tool for control, not just speed: centralised agent access, approved-data-only consumption, and policy as code.
Your job is making sure people actually use the thing. We'll cover designing interfaces that build worker trust, how contextual agent-to-human handoffs work in practice, and avoiding the backslide to old habits.
You'll hear from the team working on the Brazos Agentic Hub day to day.
One or two lines on what this speaker owns and why the audience should listen — the programmes they've led, the platforms they know, the scars they carry.
One or two lines on what this speaker owns and why the audience should listen — the programmes they've led, the platforms they know, the scars they carry.
Speaker line-up being confirmed — registered attendees will be notified as soon as it's final.
Most unified-inbox vendors ask you to move your processes onto their platform to get a single view. The Brazos Agentic Hub takes the opposite position: keep your processes where they are, and index the work.
Originally built by BP3 as the UI toolkit that brought consumer-grade UX to IBM BPM. The same design DNA, re-platformed for the agentic era.
An Elasticsearch-backed index keeps the worklist millisecond-fast regardless of how slow — or how unavailable — the source system is.
Execution and experience are deliberately decoupled, so processes and agents can be upgraded without breaking the interface, and vice versa.
No lock-in to a single AI provider whose model may be superseded in six months. We recommend what fits your stack.
Employees don't just receive tasks from agents — they task agents back, selecting from a governed catalogue. Adoption follows.
Anything else, reply to your confirmation email and we'll answer directly.
Yes — please do. Every registrant receives the full on-demand recording after the live session, along with the sourcing behind the figures we cite. Registering is the only way to be sent the recording, so it's worth doing even if the time doesn't work for you.
Somewhere in between, and deliberately so. We use the Brazos Agentic Hub as the worked example because it's what we build, and we explain the architecture behind it honestly — including where it isn't the right fit. But the themes apply whatever you end up using. There's no closing slide asking you to buy anything.
No — that's the central design decision. The Hub sits as an overlay above your systems of record, indexing task metadata rather than migrating processes. SAP, Salesforce, UiPath, Camunda and IBM BPM stay exactly where they are.
It's pitched for teams anywhere between "we've run a promising pilot" and "we're scaling and the governance is creaking". If you haven't started, the session is still useful as a blueprint for what to build toward — particularly the data-readiness and security prerequisites.
Yes, in some depth. We look at how timestamped decision trails evidence effective human oversight for frameworks like the EU AI Act, and how policy-as-code gives compliance teams something concrete to show an auditor rather than a black box.
Please do — and it genuinely helps. Getting agents into production usually needs operations, architecture, risk and change management aligned, so the session is built to be watched together. Each person should register separately to receive their own recording link.
We use them to send your joining link, the recording, and occasional BP3 updates on process orchestration and agentic AI. We don't sell or share your data, and you can unsubscribe from anything with one click.
Roughly an hour on improving oversight, reducing cost to serve, and scaling automation with confidence — building on the systems you already run. Three fields to register, and the recording is yours either way.