Considering AI? Ask everything.

It connects your CRM, inbox, calendar, phones, and business tools into one AI-coordinated operating layer. It follows up with leads, drafts proposals and contracts, publishes social content, answers calls and routine customer questions, preps invoices and reminders, and routes tasks to your team — with human approval wherever you want it. See how the Axiom platform works →

No. It works with the tools you already use and coordinates the work between them. Your CRM stays your CRM.

Connecting existing tools is the design goal. Potential targets include CRMs, email, calendars, supported phone systems, automation tools, accounting systems, e-signature, and social channels. Actual compatibility depends on APIs, permissions, data quality, and the actions a vendor allows, so it is confirmed during scope. Explore workflow automation →

No. Chat is one small interface. The substance is workflows: work gets found, drafted, routed, approved, and completed across your actual systems.

Entry workflow packages run $99–$399/month. Multi-workflow operations layers are custom quoted. Full AI operating systems typically run $5,000–$10,000+ depending on workflows, integrations, data complexity, security requirements, and business size. See the pricing page for how quotes work. Review pricing and scope →

Start with one repeated workflow: measure weekly volume, hands-on minutes, people involved, loaded labor cost, and a conservative time-reduction target. Compare the resulting capacity value with setup and ongoing costs, then replace assumptions with observed results after launch. Use the free business automation ROI calculator →

DIY can fit a stable, low-risk workflow when someone internally has time and skill to own the build and maintenance. A project consultant can fit a defined implementation with a clear handoff. Managed automation is worth comparing when ongoing monitoring, support, and change ownership matter. Compare DIY, consultant, and managed automation →

A narrowly scoped workflow can usually be tested sooner than a multi-system implementation, but the timeline depends on access, integration limits, data readiness, approval rules, and testing. The workflow audit defines a realistic sequence before launch work begins.

That's the recommended path. One workflow — such as missed-call recovery or lead follow-up — creates a measurable baseline and test before anything expands. See the one-workflow delivery model →

Each new workflow joins the same operating layer: shared data, shared knowledge, one approval queue, one dashboard. You add scope, not new silos.

No. We design, build, monitor, and tune the workflows. You review work in an approval queue and watch the dashboard.

Data handling depends on the connected systems, selected vendors, credentials, deployment design, and retention settings. Each workflow should document what data it uses, why it needs it, who can access it, and how access can be revoked. Review security and data boundaries →

Some components may be eligible for local or private deployment, but not every integration or AI model can run entirely on business-owned hardware. The feasible boundary is confirmed during architecture and security review. Review deployment boundaries →

Yes, before we look at anything.

That's what approval gates, stop conditions, and escalation paths are for. Sensitive actions — pricing, contracts, outbound content — can wait for human sign-off, and activity should be logged where the connected systems support it. You choose what may run automatically and can tighten the rules over time. See the human-control approach →

Yes. Approval-first is the default design posture for consequential actions. The workflow defines who can approve, edit, reject, or escalate each action and which system records that decision. See an illustrative AI workflow approval matrix →

Adoption cannot be guaranteed. The rollout is designed one role at a time around familiar work surfaces, clear tasks, SOPs, checklists, dashboards, and training, with employee feedback used to revise the workflow.

It is designed to reduce repetitive steps and coordination work, not to make a blanket headcount promise. Staffing decisions remain with the business and should consider service quality, controls, workload, and the measured results of each workflow.

That is a core use case to test. Task routing, document drafts, centralized knowledge, and role dashboards can reduce copying, chasing, and status-checking, but time saved should be baselined and measured rather than assumed.

It can target avoidable admin work such as copying data, chasing updates, preparing routine documents, and checking statuses. ContourIQ measures candidate savings in time and completed steps; it does not guarantee payroll reductions or dollar outcomes.

It can draft posts from approved business information, voice guidance, photos, and review inputs. Publishing depends on supported account access and platform APIs, and public content can remain behind a human approval step. Explore bounded AI assistance →

A supported voice setup can assist with missed-call intake, qualification, common questions, routing, and booking. The design must define disclosure, consent, approved knowledge, recording policy, failure handling, and human escalation before launch.

It can draft or send bounded replies from approved knowledge when confidence and risk rules allow. Uncertain, sensitive, or exception requests should route to a person, and record updates depend on the connected system's permissions.

It can coordinate an end-to-end path when the required systems expose reliable access: capture and qualify a lead, prepare follow-up and approved documents, collect an e-signature, update the CRM, and trigger onboarding. Pricing, scope, and commitments can remain behind approval gates. Explore cross-system workflows →

It can assist with invoice preparation, approved reminders, receipt collection, categorization drafts, summaries, and bookkeeper handoffs where the accounting tools permit it. It does not replace your CPA, bookkeeper, controls, or accounting system.