Typical Mid-Market AI Journey with Otonmi
Week 1–2: AI Opportunity Scan
Identify your 3 highest-value AI automation opportunities across operations, sales, and delivery
Week 3–4: Tool Selection & Design
Pick the right AI stack for your budget and systems. Design the target workflow, no unnecessary complexity
Week 5–10: Build & Deploy
Implement the first AI workflow in your actual systems. Train your team. Measure the baseline vs. outcome
Week 11+: Expand & Compound
Add the next workflow. Build internal capability. Make AI a competitive advantage, not a one-time experiment
90d
From first call to
live AI workflow
3x
Average throughput
gain on first workflow
The Mid-Market AI Gap

Why mid-market AI programs stall.

Mid-market companies face a unique set of AI implementation challenges that neither enterprise consultants nor SMB tool vendors are built to solve.

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No dedicated AI team
You do not have a Chief AI Officer or a 10-person data science team. AI initiatives compete with everything else on the IT roadmap and rarely win.
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Integration complexity
Your systems are not a clean greenfield. You have a mix of legacy software, SaaS tools, and manual processes that make "just plug in AI" impossible.
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Enterprise pricing, enterprise complexity
Big-firm AI consultants quote enterprise scopes and enterprise fees. Off-the-shelf tools are too shallow. There is a gap in the market for your size.
📋
Pilot-to-nowhere syndrome
You ran a proof of concept. It worked in isolation. But six months later it is still not connected to a real workflow, still not measured, still not scaled.
👥
Resistance without structure
Your team knows AI is coming. Half are excited, half are worried. Without a structured change management plan, adoption stays at 20%.
📉
Falling behind faster-moving competitors
Your smaller competitors are using AI to outprice you. Your larger competitors are using it to outscale you. Standing still is not a neutral position anymore.
Mid-Market Services

Sized right. Priced right.
Delivered fast.

Every Otonmi mid-market engagement is a fixed-scope, time-boxed sprint. You know exactly what you get, when you get it, and what success looks like before you start.

🔍
AI Opportunity & Stack Assessment
A focused 2-week audit of your operations, tech stack, and team workflows. Identifies your top 3–5 AI automation opportunities ranked by ROI and implementation effort. Includes tool recommendations matched to your budget and existing systems, not a generic vendor list.
2 WEEKS · FIXED PRICE
⚡
90-Day AI Workflow Sprint
Design, build, and deploy one high-impact AI workflow in your actual production environment. Includes integration with existing systems, baseline measurement, and a trained team that can operate and adapt the workflow without ongoing consultant dependency.
12 WEEKS · MILESTONE-BASED
📊
AI ROI Baseline & Business Case
Establish the measurement baseline before you deploy. Define the KPIs, build the tracking mechanism, and create a business case your CFO will sign off on. Delivered as a living document that updates as your AI program matures.
1–2 WEEKS · STANDALONE OR BUNDLED
🎓
Team AI Enablement Program
Role-specific AI training for your entire company, from leadership (AI strategy and governance) to individual contributors (AI tools for daily work). Customized to your industry, tools, and use cases. Delivered in half-day sessions, not week-long offsites.
2–4 WEEKS · COHORT-BASED
🏛
AI Governance Starter Kit
Acceptable use policy, shadow AI inventory and control framework, data handling guidelines, and a lightweight AI governance process that works for a team without a legal department. Practical, not theoretical.
1 WEEK · DOCUMENT DELIVERABLE
🔁
Quarterly Aizen™ Retainer
After your first workflow is live, keep compounding. Monthly check-ins, quarterly optimization sprints, expansion planning, and a standing advisory relationship that scales with your AI program. Structured retainer, not an open-ended consulting engagement.
ONGOING · QUARTERLY SCOPE
How It Works

From inquiry to live AI
in under 100 days.

01

60-Minute Discovery Call

No sales deck. A direct conversation about where your business is, what AI you have tried, and what outcomes you need. We tell you on the call whether we can help and what it would look like.

02

Scoped Proposal in 5 Days

A fixed-price statement of work with defined milestones, a delivery team profile, and success criteria agreed before you sign. No vague "Phase 1 TBD" language.

03

Sprint Kickoff Within 2 Weeks

We start with current-state mapping of the target workflow, the actual process, the actual people, the actual systems. Not a survey, a working session.

04

Live Workflow + Handoff

The engagement closes when the workflow is live in production, measured against baseline, and your team can operate it without us. Documentation, training, and a 30-day post-launch check included.

Mid-Market Engagement Packages
Opportunity Assessment
2-week AI opportunity scan. Delivered: prioritized opportunity map, tool recommendations, ROI estimates, and a proposed sprint plan.
STARTING POINT · 2 WEEKS
AI Workflow Sprint
12-week end-to-end implementation of one AI workflow. Includes assessment, design, build, integration, team training, and measurement.
MOST POPULAR · 90 DAYS
AI Accelerator Program
Assessment + two workflow sprints + team enablement program + governance kit. For companies ready to move from one workflow to a real AI program.
COMPREHENSIVE · 6 MONTHS
Ongoing Aizen™ Retainer
Monthly advisory + quarterly optimization sprints for organizations with at least one live AI workflow ready to compound.
CONTINUOUS IMPROVEMENT
All pricing discussed in discovery call · No hidden fees
Based in Northern Virginia

Serving DMV mid-market companies.

Otonmi is headquartered in Fairfax, Virginia and works with mid-market companies (50–500 employees) across Washington DC, Northern Virginia, and Maryland. The DMV region is home to one of the densest concentrations of mid-market companies in the country: government contractors, professional services firms, healthcare organizations, technology companies, and financial services providers that need AI done right at their scale.

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Government Contractors
NOVA and DC-area contractors navigating AI adoption for internal operations and client deliverables. GSA-familiar team, compliance-aware implementation.
⚖️
Professional Services
Law firms, consulting practices, and accounting firms with high-volume document and intake workflows ready for structured AI automation.
🏥
Healthcare Organizations
Regional health systems, specialty practices, and healthcare services companies improving intake, scheduling, and back-office throughput without compromising compliance.
💻
Technology Companies
Mid-size technology firms deploying AI to improve internal operations, support capacity, and product delivery — not just selling AI, but running on it.
🏦
Financial Services
Regional banks, credit unions, insurance firms, and wealth management companies with compliance-sensitive workflows that require governed AI with full audit trails.
🔧
Field & Facilities Operations
Facilities management, construction, and field service companies in the DC metro corridor reducing coordination drag and work order latency through AI workflow redesign.