AI agents and workflow automation
Halo designs AI-assisted workflows across inboxes, documents, CRMs, spreadsheets and task systems without hiding permissions, uncertainty or failure.
Typical first release
One repeated trigger-to-output workflow with constrained inputs, human checkpoints, logging, exception handling and a manual fallback.
Not included automatically
Delivery path
Reduced manual steps or delay without an increase in wrong updates, hidden failures or unsafe customer-facing actions.
Identify the user, current surface, constraint and outcome that matters.
Define what must work, what can wait and which risks need a boundary.
Design and implement the approved surface, workflow or product slice.
Check the real route, interaction or operational state before calling it complete.
Relevant live surfaces
These links demonstrate delivery breadth. They do not imply customer outcome metrics.
A full commercial and engineering rebuild that replaced a bloated, misleading and failure-prone site with a focused, measurable release system.
Halo rebuilt and operates this website
Proof type: Measured first-party delivery evidence
Status: Before/after technical evidence is published; commercial outcomes are not claimed
Evidence checked: 1 August 2026
Boundary: No traffic, ranking, lead or revenue uplift is claimed.
Capability shown: Positioning, UX, content, accessibility, lead capture, edge engineering, deployment and verification
An Isle of Man morning briefing combining local news, public information, events, tides and weather.
Independent editorial operation run by David Shelley
Proof type: Studio-operated public surface
Status: Live morning briefing, archive and publishing surface
Evidence checked: 29 July 2026
Boundary: The public surface does not prove audience size, delivery reach or search performance.
Capability shown: Editorial automation, archive, feeds and delivery operations
Capability questions
Start with the useful release and evidence standard; the tool choices come after.
One repeated trigger-to-output workflow with constrained inputs, human checkpoints, logging, exception handling and a manual fallback.
Reduced manual steps or delay without an increase in wrong updates, hidden failures or unsafe customer-facing actions.
More brands, audiences, locations, integrations, sensitive data, live-account access, legacy migration, content volume and third-party approvals can all change the release plan and price.
Practical guides
Each guide explains a bounded first release, the evidence to retain and the outcomes no supplier can honestly guarantee.
A practical data-hygiene guide for UK SMEs preparing CRM, enquiry and sales data for AI automation without hiding ownership, consent or review.
Read guide
Turn meeting notes into reviewed decisions, actions, CRM updates and follow-up drafts while keeping purpose, sensitive data and human approval visible.
Read guide
Build a practical AI policy for a UK SME covering approved tools, data boundaries, human review, prohibited uses, incidents and regular review.
Read guideReady when you are
Send an existing page or workflow for a free first look, or tell Halo what you want to create. You will get a specific next step, not a generic AI roadmap.