An AI Workflow Design,
in full.
Not consultancy to redo every time, but a reusable playbook. This is the Sales department example, open and free: what to really automate, with which tools, in which phases and with which compliance controls. The exact shape of what we graft into your business.
What to really automate
The pattern of what works: high-frequency, rule-governed tasks that don't require relationship judgement. AI doesn't close the deal — it removes the admin around it.
- Lead qualification and scoring replaces: Manual triage of inbound
- Running follow-up sequences replaces: Follow-ups the rep remembers by heart
- CRM hygiene and enrichment replaces: Manual data entry
- Meeting scheduling replaces: Back-and-forth over email
- Pipeline and anomaly reporting replaces: Manual dashboard review
The best-documented use cases report marked improvements in response times and qualified-lead volume, but the available figures are self-reported aggregates from vendors and analysts, not independently verified: read them as direction, not a promise of results.
Two philosophies, not a shopping list
The 2026 market splits into two models. The right choice depends on the budget and reputational risk you can afford, not on the most-cited tool.
Augmented copilot
It makes the human rep faster, it doesn't replace them. It costs less, carries lower reputational risk, and hybrid human+AI teams report more pipeline than purely autonomous or purely manual models.
Autonomous SDR
It replaces the entire outbound motion. Mind the risk flagged by reviewers: generic messages, recognisably bot-written, that erode both the response rate and the sender's reputation over time.
Our default choice for an SME is the augmented tier: cheaper, less risky and with the best evidence to hand. Picking the exact vendor — and the due diligence on its data-processing terms — is part of the graft.
The phases of the graft
Every item in the playbook carries a phase, so halfway through you filter by "what comes next" instead of re-reading the pilots you've already shipped.
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Pilot
First 30 days
A single high-frequency use case (usually lead qualification or follow-up), a named owner, the usage policy written and the metrics instrumented before you start.
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Scale
First 90 days
The workflow that worked is extended to the other use cases and integrated with the CRM you already use. The guardrails on tone of voice and data are consolidated.
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Ongoing
Steady state
Continuous monitoring of adoption and results, periodic review of vendors and risks. The playbook stays alive: it gets updated, not archived.
The compliance overlay, and who governs it
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Compliance overlay
A sales workflow touches personal data of prospects and customers: it raises the same GDPR questions as the rest of the playbook — an impact assessment (DPIA) when needed, data minimisation on the enrichment tools. Outbound automation at SME scale isn't in itself a high-risk category under the EU AI Act, but the vendor's processing terms — where the data ends up and where it is processed — require the same due diligence as any software choice.
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The AI owner
No big-enterprise Center of Excellence: in an SME one or two people named as AI owner are enough. Five responsibilities stay with them — setting priorities, who decides what, enabling the team, reusable standards and monitoring adoption and results — without assuming a whole dedicated department.
The analyses that prove this method.
The same pattern, other departments.
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Marketing
Campaign optimisation and copy with brand oversight.
See the full example -
Operations
Process automation, reporting and anomaly detection.
See the full example -
Finance & Administration
Accounts payable, month-end close and cash forecasting, with a human on the money.
See the full example -
HR & People
Screening, onboarding and an internal knowledge base, with high-risk hiring kept under oversight.
See the full example -
Customer support
Ticket deflection, triage and agent-assist, with answers anchored to sources — no hallucinations.
See the full example -
Software Development
Assisted coding, a first review pass and diagnosed pipelines, with the merge always in a human's hands.
See the full example
This is the example. We graft yours.
The other departments follow the same pattern. Start from the free assessment to find out where it makes sense to begin, or let's talk directly.
- Lead qualification and scoring
- Running follow-up sequences
- CRM hygiene and enrichment
Example for guidance only: it does not constitute legal advice or a compliance assessment.