Services · AI Consulting
AI consulting that actually ships.
Most AI consultants deliver slide decks. Cyndra delivers production-grade AI employees — trained on your business, integrated into your stack, and measurably moving the metrics that matter. Strategy, build, and deployment in one engagement.
How it works
Five phases from kickoff to measurable outcomes.
Phase 01
Discovery & Opportunity Mapping
We sit with your team, audit existing workflows, and identify the 3–5 highest-ROI opportunities for AI. You leave discovery with a prioritized roadmap — not a deck.
Phase 02
Strategy & Architecture
We design the AI employee architecture: which workflows, which tools, which guardrails. We pick the right model, the right integrations, and the right human-in-the-loop checkpoints.
Phase 03
Build & Training
We configure AI employees, train them on your playbooks and past outputs, and wire them into your tool stack via 250+ integrations through Composio and native APIs.
Phase 04
Deployment & Team Enablement
We deploy across Slack, Teams, WhatsApp, or Discord — wherever your team already works. We run team training, build oversight dashboards, and monitor the first 30 days closely.
Phase 05
Optimization & Expansion
After launch, we refine against real usage data, add new workflows as they emerge, and expand AI coverage across departments on a monthly retainer.
What makes us different
Why teams pick Cyndra over traditional AI consultants.
We build, not advise
Most AI consultants stop at the roadmap. We deliver production-grade AI employees running in your stack — with measurable outcomes — before our engagement ends.
Custom AI agents, not templates
Every AI employee is trained on your specific processes, tone, and playbooks. No generic workflows. No vendor lock-in on a proprietary agent framework.
Meet your team where they work
AI employees deploy inside Slack, Teams, WhatsApp, or Discord. No new SaaS tab to open. No logins to remember. Your team just works as usual — with an AI coworker.
Human-in-the-loop by default
High-stakes workflows route to human approval automatically. You get the speed of AI with the judgment of your team — and a full audit trail of every decision.
FAQ
AI consulting questions, answered.
What does an AI consulting engagement with Cyndra look like?
Most engagements run 6–12 weeks end-to-end. The first 1–2 weeks are discovery and scoping. The next 3–6 weeks are build, training, and integration. The final 2–4 weeks are deployment, team enablement, and optimization. After go-live, most clients retain us on a monthly basis for ongoing refinement.
How is AI consulting different from hiring an AI developer?
A developer writes code for one workflow. AI consulting covers the full stack: which problems are worth solving, which models and tools to use, how to integrate with your existing systems, how to change-manage your team, and how to measure outcomes. Cyndra combines both — strategy and build — in one engagement.
What's the difference between AI consulting and AI implementation?
In our framing, AI consulting covers the strategy, architecture, and vendor decisions. AI implementation covers the actual build, integration, and deployment. Cyndra handles both in a single engagement — because handing off a strategy doc to a different team is where most AI projects die.
Do you work with specific industries?
Yes — we have deep expertise in professional services, law firms, accounting firms, private equity, financial services, real estate, mortgage & lending, construction, manufacturing, retail, and hospitality. See our industries pages for tailored use cases.
What does AI consulting cost?
Every engagement is scoped after a free discovery call so you know the cost and outcomes before committing. Pilot engagements tend to be smaller and focused on a single workflow; full implementations cover multiple AI employees across departments. Book a strategy call for a custom quote.