AI Strategy and Advisory

AI Strategy That Starts With Your Workflows, Not a Framework

Most AI strategies fail because they are technology-first instead of problem-first. We start with your actual workflows, identify where AI delivers measurable ROI, and build a roadmap your team can execute - in weeks, not quarters.

See Our Approach
Workflow-First Approach2-4 Week DeliveryWe Build What We RecommendPrioritized Roadmap

AI strategy from a team that builds, not just advises

We spend 1-2 weeks walking your actual workflows and deliver a prioritized action plan with specific projects, timelines, and costs. Unlike strategy-only firms, we execute what we recommend - same team, no vendor handoff. Every recommendation is grounded in engineering reality, not theoretical frameworks.

Workflow-First, Not Tech-First

We start by walking your top manual processes, not by assessing your AI maturity on a 5-point scale.

Action Plan, Not a Deck

Specific projects with timelines, costs, and success metrics. Not a 100-page report that sits on a shelf.

Strategy to Execution

Unlike strategy-only firms, we execute what we recommend. Same team, no re-scoping, no vendor handoff.

Grounded in Engineering Reality

Every recommendation is feasible because we build these systems ourselves. No theoretical advice that falls apart in implementation.

What you get from an AI strategy engagement

Specific, concrete deliverables - not vague promises. Here is what you get.

AI Readiness Assessment

Evaluate your data maturity, infrastructure, team capabilities, and organizational readiness. Honest assessment of where you stand and what is needed.

Workflow Audit and Opportunity Mapping

Walk your top 5-10 manual processes, identify AI automation potential, and map the effort-to-impact ratio for each opportunity.

Use Case Prioritization

Score opportunities by business impact, technical feasibility, data readiness, and strategic value. Clear ranking of what to build first.

AI Roadmap

Phased implementation plan with specific projects, timelines, budgets, team requirements, and success metrics for each phase.

Technology Recommendations

Model selection, infrastructure recommendations, build vs buy analysis, and vendor evaluation. Specific, not generic.

Business Case Development

ROI projections, cost-benefit analysis, and stakeholder presentation materials. The business case your leadership needs to approve investment.

Implementation Support

We do not just advise. We build. Your strategy engagement can transition directly into a build engagement with the same team.

The numbers that matter

1-2 weeks

Typical strategy engagement duration

5-10

Workflows audited per engagement

80%+

Strategy clients who proceed to build phase

10+

Production deployments from strategy engagements

Real deployments, real results

Staffing and Recruitment

India's largest staffing company

Strategy engagement led to full Janus deployment - 60+ recruiters now using AI screening daily

Logistics and Supply Chain

Leading logistics technology company

Workflow audit identified 4 high-impact AI opportunities; 2 deployed to production in first quarter

Financial Services

International development finance organization

AI readiness assessment and roadmap led to 3 automation workflows in production

The Optivus Method

Every engagement follows four phases. You always know what is being delivered and what comes next.

01

Discovery

1-2 days of structured interviews with stakeholders, process owners, and technical leads. We understand your business, your data, and your pain points.

02

Workflow Analysis

Walk your top workflows end-to-end. Identify automation opportunities, data requirements, and integration points. Map effort versus impact for each.

03

Roadmap Development

Prioritize opportunities, define project scopes, estimate timelines and costs, and build the phased implementation plan.

04

Presentation and Transition

Present findings and roadmap to your leadership. Answer questions, refine priorities, and optionally transition into the first build project.

Products we have built with this technology

We do not just consult - we build production AI products. The same engineering powers what we deliver for clients.

Industries we serve

Our AI expertise transfers across industries. The underlying technology applies regardless of domain.

Ready to discuss your project?

Book a 30-minute call. Tell us about your workflow and we will scope the right approach together.

Common questions about ai strategy and advisory

Typically 1-4 weeks depending on scope. A focused assessment of 2-3 workflows takes 1-2 weeks. A comprehensive enterprise-wide audit with 8-10 workflows takes 3-4 weeks. We always deliver a prioritized roadmap with specific project recommendations.
Not always. If you already know your highest-pain workflow and have data ready, you can skip straight to a build engagement. Strategy is most valuable when you have multiple potential AI opportunities and need help prioritizing, or when you need to build a business case for leadership buy-in.
Three key differences: speed (we deliver in weeks, not months), specificity (we give you project scopes with timelines and costs, not theoretical frameworks), and execution (we build what we recommend, with the same team). We are also significantly more affordable because we do not carry the overhead of a large consulting firm.
We can review and pressure-test your existing strategy against engineering reality. Many clients come to us after a Big 4 firm delivered a strategy deck that their team cannot execute. We translate strategy into actionable project scopes and start building.
Yes - that is our core model. Over 80% of our strategy clients proceed to a build engagement. The same team that developed your strategy transitions directly into building the first project. No re-explaining, no re-scoping, no vendor handoff.
We serve all industries but have deep experience in manufacturing, financial services, staffing and recruitment, logistics, and professional services. Our AI expertise transfers across domains - the strategy methodology is the same, but we adapt our recommendations to industry-specific constraints and opportunities.
No. Part of our assessment is evaluating your data readiness and recommending what data infrastructure you need. Some AI opportunities work with the data you already have. Others require data collection or cleanup first. We give you an honest assessment of what is needed before you invest.
You receive a structured document with: executive summary, current state assessment, prioritized opportunity map (scored by impact and feasibility), phased roadmap with project scopes and timelines, technology recommendations, team requirements, budget estimates, and a presentation deck for stakeholder communication.

Ready to build something that works?

Book a 30-minute discovery call. Bring your messiest workflow and we will show you exactly how we would approach it.