Free 30-minute AI workflow strategy call

Bring one workflow. Leave with a practical AI implementation path.

In 30 minutes, we'll map where AI can save time, improve decisions, or move revenue — and what it would actually take to deploy it safely.

  • No pitch
  • No generic AI advice
  • Practical next step
Current workflow

Lead → Inbox → Manual review → Follow-up → CRM → Reporting

Arq AI system

Lead → AI qualification → Routing → Follow-up agent → CRM update → KPI dashboard

Pick a time

30 minutes · timezone auto-detected · confirmation sent instantly.

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30 minutes · no pitch · practical next step

What you'll leave with

Find the highest-impact AI opportunity

Identify where agents, automation, or decision support can create measurable business value.

Map pilot → production

Define systems, data, integrations, approvals, risks, and human oversight.

Leave with a concrete first step

Get a recommendation for the first workflow to automate and the implementation sequence.

Bring one workflow

Tap a workflow type to focus your prep — or bring your own bottleneck.

Not sure which workflow to bring? We'll help you choose during the call.

What happens in 30 minutes

Structured working session — not a generic sales conversation.

  1. 0–5 min Understand workflow and business context.
  2. 5–15 min Identify bottlenecks, systems, data, approvals, and risk.
  3. 15–25 min Map possible AI architecture and first-phase scope.
  4. 25–30 min Agree on realistic next step, timeline, and KPI.

Example workflows we diagnose

Lead response workflow

Before

Lead arrives → waits in inbox → manual qualification → delayed follow-up → CRM updated later.

After

Lead arrives → AI qualifies → urgent leads routed → follow-up drafted/sent → CRM updated → owner gets KPI report.

Operations reporting workflow

Before

Data spread across sheets, inbox, CRM, and manual reports.

After

AI extracts updates → flags anomalies → drafts weekly report → escalates decisions → tracks KPIs.

Trusted by operators building AI into daily operations

Production systems, not chatbot demos

20+ hrs/wk

Pilot target: time returned to owners on high-fit workflows

35% target

Reduction in routine operating work on scoped roles

3-mo target

Payback window for workflows with clear KPI impact

CRMInboxCalendarSlackNotionAirtableHubSpotZapierMakeDatabases
  • Approval workflows and audit logs
  • Human-in-the-loop systems
  • KPI dashboards and LLM routing with governance

Confidential by default

Your workflow details stay confidential. We do not need access to private systems for the first call. If there is a fit, we define data boundaries, approvals, security requirements, and human oversight before any implementation.

  • No private credentials required on the call
  • No black-box automation proposal
  • Human approval paths included in every architecture
  • Data boundaries defined before build

What we do not do: generic AI pitches, unnecessary rebuilds, or black-box automation without approval rules.

Good fit

  • Founder or operator with a real bottleneck
  • Team spending time on repeated manual workflows
  • CRM, inbox, data, support, reporting, or operational handoffs
  • Measurable impact matters more than AI experiments

Not a fit

  • Looking for generic ChatGPT tips
  • No real workflow or business process yet
  • Fully autonomous high-risk decisions without approval rules
  • Expecting a one-click AI miracle without operational change

Frequently asked questions

Quick answers before you pick a time.

Do I need to prepare documents?

No formal deck required. Bring one workflow, the systems involved, and what a successful outcome would look like. Notes or a short Loom are enough.

Can you work with our existing CRM and tools?

Yes. We design integration-aware architectures around your current stack — CRM, inbox, calendar, internal tools, databases, and approval paths.

Do you build custom agents or use off-the-shelf tools?

Both, depending on fit. We architect production systems — custom agents, orchestration, governance, and integrations — not one-size-fits-all chatbot wrappers.

How soon can a pilot launch?

High-fit workflows often start in 2–4 weeks after scoping. We separate quick wins from deeper buildouts so you know what ships first.

What happens after the call?

You leave with a practical recommendation: best first workflow, systems involved, approval model, and a realistic phase-one plan. If there is a fit, we outline next steps.

Is the call confidential?

Yes. Workflow details and operational context are treated as confidential. We do not need private system access on the first call.

Do you work with non-technical founders?

Yes. We work directly with operators and translate workflow constraints into a build plan your team can execute.

What workflows are best for a first AI pilot?

Repeated handoffs with clear inputs/outputs: lead response, support triage, reporting, document review, routing, and internal approvals.

Start with one workflow. Leave with a practical AI path.

Pick a time in the scheduler above — or email the team if you prefer.

Pick a time