AI Strategy & Consulting

Turn AI into Measurable ROI

Stop AI chaos. In 30–60 days, ship a clear roadmap, automate real work, and stand up GenAI where it actually pays off.

We align AI to business goals, quantify lift, and implement only what clears the KPI bar.

Book Your AI Roadmap Call

Our Approach

1. AI Strategy & Consulting

0-2 Weeks

Deliverables: Strategy deck, 3–6-month roadmap, reference diagrams, risk register.

2. Workflow Automation & Orchestration

2-6 Weeks

Deliverables: Live orchestrator with dashboards, reusable connectors, runbooks.

3. Generative AI & LLMs

4-8+ Weeks

Deliverables: POC→MVP in prod, eval report, prompt library, ops playbooks.

Day 1 - 15

Identify your highest-ROI AI opportunities

Expert strategy leads and AI engineers run interviews, map processes, and scan data/tech. We score use cases by impact × feasibility × risk to select quick wins and high-leverage bets.

Day 15 - 30

Build your AI strategy and roadmap

Define target architecture, governance (HITL, PII, audit), and change plan. Sequence initiatives against OKRs with budgets, talent, and risk controls.

Day 30 - 60+

Implement and deploy your everyday AI systems

Stand up orchestration (Power Platform / n8n / Temporal). Ship 2–3 automations with SLAs, alerts, and dashboards. Connect data sources; track accuracy/latency/cost per task.

Clear rules, measurable lift, production readiness. If it can’t be measured, we don’t ship it.

We’re expert engineers and strategists who ship strategy, automation, and GenAI that actually holds up in production.

Scale copilots and domain apps (RAG, extraction, summarization), add teams/regions, harden with MLOps, and drive adoption.

6 Practical Reasons to Ship an AI Strategy Now

1. Eliminate shadow AI

Centralize policy, access, and spend. One backlog, one guardrail set, one owner.
KPI: % of AI tools whitelisted, % spend visible, # duplicate pilots → 0.

2. Turn experiments into systems

Move from ad-hoc prompts to apps with SSO, VPC isolation, logging, DLP.
KPI: Time-to-prod (<30 days), p95 latency (<2s), cost/query budget met.

3. Lift output without headcount.

Automate the repetitive 20–30% and give teams a co-pilot for the rest.
KPI: Hours saved/flow, queue time ↓, accuracy vs baseline ≥ target.

4. Monetize your proprietary data

Stand up retrieval-first workflows and domain copilots your competitors can’t copy.
KPI: Win rate ↑, attach rate ↑, cycle time ↓ for proposals/support.

5. Control risk before it controls you.

PII redaction, content filters, jailbreak defense, HITL checkpoints, audit trails.
KPI: Policy violations → 0, audit coverage 100%, license/IP compliance pass.

6. Build a durable capability, not a one-off

Create an AI CoE, prompt/pattern library, runbooks, and training.
KPI: # live automations, adoption rate by team, eval pass rate per release.

Work with us

We would love to hear more about your project

Let’s talk

Full-stack product studio: AI/ML, custom software, embedded/IoT, and Microsoft ERP/CRM. We design, build, and operate production systems with security, observability, and measurable results.