Straight answers
before the first call.

Practical AI consulting starts with a business problem, workflow or opportunity rather than a piece of software. Productivity Edge helps you clarify the need, assess options, decide where human judgement belongs and plan a workable next step.

Readiness depends on the process, information, people and systems involved. An opportunity assessment looks at recurring work, customer impact, data quality, risk, integration needs and the team’s ability to adopt a changed way of working.

We map selected workflows, identify friction and repetition, test the value and feasibility of possible uses, and prioritise options. The result is a practical direction for what to explore, what to leave alone and what needs more evidence.

Good candidates often include structured hand-offs, routine enquiries, form or email triage, reminders, document preparation and moving approved information between systems. Suitability is assessed case by case; not every process should be automated.

Integration may be possible through an existing API, approved connector or a carefully designed workflow. Productivity Edge first checks what your systems support, what data is involved and what controls are required before recommending an approach.

Yes. Work can include design, implementation, integration, testing, documentation and team handover where the proposed solution is suitable. The exact scope is agreed after discovery; unsupported integrations are not promised.

Human oversight is designed around consequence and uncertainty. People can approve sensitive actions, review exceptions, handle complex conversations and change the rules. AI should support judgement, not quietly replace it.

No. The focus is useful capacity, more consistent handling and less avoidable friction. Roles and decisions that require judgement, relationships, accountability or empathy remain with people.

We minimise the information collected, define why it is needed, limit what the system may do and document the services involved. Privacy and security requirements are considered before implementation, with specialist advice sought where a regulated or high-risk use needs it.

That depends on the chosen service and configuration. Productivity Edge does not make a blanket promise across all providers. Data handling, retention and model-training settings are reviewed as part of solution selection and must be confirmed for the tools you approve.

Pricing is scoped to the problem, complexity, integrations, implementation work, training and ongoing support required. The first step is a discovery call; no fixed prices or guaranteed savings are published on this site.

Timing depends on scope, system access, data quality, stakeholder availability, testing and risk. A small proof of concept may be quicker than a cross-system workflow, but a timeframe is only proposed after the work is understood.

An approved receptionist can answer common questions, collect contact details, help qualify an enquiry, check approved availability and support booking. Its knowledge, actions and escalation boundaries are configured for the business.

Modern voice systems can hold a natural conversation, but quality depends on the voice, prompt, knowledge, connection and testing. The live Lucy demonstration lets you judge the experience directly.

Voice platforms may support concurrent web or phone conversations, subject to the selected service and account configuration. Required call volumes and escalation paths are confirmed during solution design.

Often a business can route calls from an existing number, use a new number or apply the receptionist only in selected situations. The available setup depends on the phone provider and approved call flow.

It can be configured for selected hours or scenarios, but the business must approve the information it gives, the actions it may take and how urgent matters reach a person.

Lucy should say when information is not approved or when a person needs to help. She can collect the minimum useful details and direct the enquiry to Doug rather than inventing an answer.

Yes, through the approved Cal.com tools. She confirms the caller’s email, checks current availability, identifies the exact booking and asks for explicit confirmation before any consequential action.

A Talking Website adds a voice receptionist to the website so a visitor can ask questions and, where configured, take an approved next step. Desktop uses the hosted voice widget; mobile uses a direct voice connection designed for reliable microphone cleanup and repeat calls.

Productivity Edge provides bespoke AI staff training, practical workshops and tailored team sessions based on the organisation’s tools, workflows, risks and capability goals. Training scope is agreed for each team.

It is a practical session that builds shared understanding of useful AI, limitations, responsible use, prompting and review. Examples and exercises are tailored to the team rather than delivered as a generic technology lecture.

No technical background is assumed unless the agreed workshop is for a technical audience. Sessions use plain language and practical business examples, with enough structure for people to apply what they learn.

Yes. A bounded use case can make assumptions, risks and adoption needs easier to test. Starting small is useful when it creates real evidence rather than becoming an isolated experiment with no owner or next step.