We turn manual business processes into connected AI systems. From B2B acquisition funnels to content production, we design the workflow, build the software and connect it to the tools your team already uses.
Choose a workflow to see where AI helps and where your team decides.
B2B acquisition
A lead your sales team can act on.
Input
Enquiry captured
A form or approved lead list
Connected tools
Facts gathered
Approved company sources
AI step
Brief prepared
Context, gaps and next step
Human decision
Sales review
Approve, edit or stop
Output
CRM ready
An assigned, sourced record
The result
A sourced brief, open questions and an assigned next step.
Sales approves outreach and resolves uncertain or disallowed records.
What changes for the team?+
Before: a salesperson copies company details between tabs, recalls qualification rules and enters partial context into the CRM. System: approved sources feed a structured record, fixed rules check required facts and AI prepares a summary where judgement is useful. After: the operator sees the source, rationale, gaps and suggested next action before approving outreach.
Content production
A draft your editor can trust and refine.
Input
Sources received
Expert notes and product facts
Connected tools
Brief assembled
Audience, purpose and sources
AI step
Draft prepared
Copy with evidence attached
Human decision
Editor review
Check claims and tone
Output
CMS draft
Ready for publishing approval
The result
A content draft with its sources and unresolved claims attached.
An editor owns factual approval, tone and the decision to publish.
What changes for the team?+
Before: expert notes, product facts and research links arrive in different formats, while editors rebuild the brief and recheck claims. System: approved inputs form a source-aware brief, drafting follows content rules and unsupported statements are flagged. After: an editor receives the draft, evidence, open questions and channel adaptations in one path.
Reporting
A report ready for the decision.
Input
Data collected
Agreed fields and date ranges
Connected tools
Totals checked
Defined metric calculations
AI step
Summary drafted
Commentary from checked data
Human decision
Owner review
Resolve gaps and interpretation
Output
Report ready
A reviewed decision summary
The result
Checked figures, exceptions and reviewed commentary in one place.
The reporting owner resolves data gaps and approves the interpretation.
What changes for the team?+
Before: an operator exports platform data, repairs naming differences and rewrites the weekly explanation. System: connectors collect agreed fields, deterministic rules validate totals and AI drafts commentary only after those checks. After: the operator reviews exceptions, comparisons and the summary before it reaches stakeholders.
Illustrative workflows, not client case studies. Tools, data access and approval steps are agreed for each project.
Built around your team
Connected work. Clear ownership.
Map the work
A workflow blueprint
The current process, the proposed system, required integrations and the points where a person makes the decision.
Build the connections
Connected software
The agreed AI workflows, integrations and any custom review interface, installed in the chosen environment.
Put your team in control
A tested handover
Representative test results, operating instructions, team training and a clear map of accounts, access and ongoing costs.
We agree data access, hosting, software ownership, third-party subscriptions and support before build. The scope can replace manual steps or an existing workflow; it does not assume every tool needs replacing. Savings and quality improvements are evaluated against your baseline.
A useful first workflow has a repeated trigger, identifiable inputs and an output a person can review. Work that depends on changing judgment or unavailable evidence needs a different starting point.
Fit
Start with a bounded recurring task.
We map the current steps, exceptions and decision points before selecting where AI is useful. The proposal distinguishes fixed rules from generated work and keeps uncertain cases visible instead of silently completing them.
Access
Connect only the systems required.
The client identifies approved data sources, tool owners and access boundaries. The scope records what the workflow may read or change, what requires approval and how a failed or incomplete run reaches a person.
Operation
Assign the workflow after launch.
Handover identifies who reviews output, manages exceptions and approves changes to prompts, rules, integrations or models. Usage cost and maintenance responsibilities are made visible before the system becomes part of daily work.
What we need from you
A real example of the current task, approved source access, exception cases, expected volume and an owner for the final business decision.
How we assess the work
We compare the agreed baseline with completion, review and exception signals. Quality criteria are defined for the workflow; automation volume alone is not success.
Before we start
Who runs it after handover?
Do you replace our current tools?+
Only when replacement is justified and agreed. A useful system may connect existing tools, replace a manual step or add a small review interface. We map ownership, constraints and recurring cost before deciding the architecture.
Who owns the software and accounts after handover?+
Ownership, hosting, source access, third-party subscriptions and support are defined in the project scope before build. The handover records which accounts belong to the client, what MORE maintains and what the team can change itself.
How do we decide whether a workflow is worth rebuilding?+
We start with its frequency, current effort, error or delay pattern and the value of a better output. A baseline is recorded when reliable information exists. We also check whether fixed rules or a simpler process change would solve the problem without an AI component.
