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AI Consulting Services

Our AI consulting services help B2B teams decide where AI belongs, which workflows to prioritize, and what it takes to move from pilot to production without derailing day-to-day operations.

This artificial intelligence consulting work is grounded in shipped systems, not theory. Since 2015, Flatlogic has tracked 191,964.6 engineering hours across 72 client products, including AI-heavy delivery for Optelos, Worldsphere, and Look Who’s Talking.

Talk to an AI consultant Need implementation? See delivery services
2015-2026 delivery data 191,964.6 tracked hours 72 client products 8+ year client relationships
Flatlogic team members leading software delivery work

AI consulting for businesses that need a real starting point

The first question is not which model to use. It is where manual review, decision latency, disconnected systems, or messy inputs are slowing the business down.

  • Find the workflows where AI can create leverage instead of novelty
  • Prioritize extraction, retrieval, forecasting, classification, or copilots based on actual operations
  • Decide what should be solved with AI, conventional automation, or process cleanup first
  • Turn the result into a roadmap for CRM, ERP, portals, and internal tools

Consulting backed by implementation work

Flatlogic is not a slide-deck-only consultancy. The consulting is designed to end with an owned pilot, a measurable workflow, and a practical implementation path.

  • 191,964.6 tracked hours across 72 client products in internal delivery data
  • 69.8% of work came from 2+ year relationships, which is where AI adoption usually succeeds or fails
  • 8+ year client continuity is visible in the Optelos case study
  • Public proof already exists in AI-heavy work for inspection, forecasting, and transcript-driven workflows
See Case Studies See implementation services
Optelos AI-powered inspection workflow screen

What our AI consulting services include

Practical AI consulting services for businesses that need prioritization, feasibility review, rollout planning, and a credible path to implementation.

AI opportunity assessment

AI opportunity assessment

Review operations, product flows, and repetitive work to find where AI can realistically create value instead of noise.

AI strategy consulting

AI strategy consulting

Decide where AI belongs, where it does not, and which problems should be solved with workflow design or conventional automation first.

Use-case prioritization

Use-case prioritization

Rank candidate use cases by ROI, feasibility, data readiness, workflow complexity, operational risk, and time to first value.

Data and workflow readiness

Data and workflow readiness

Assess the actual inputs: PDFs, receipts, CRM or ERP records, transcripts, scans, images, internal docs, and semi-structured business data.

Architecture and delivery plan

Architecture and delivery plan

Recommend the right path: model usage, retrieval, orchestration, build vs buy, pilot scope, human review points, and system boundaries.

Pilot scope and rollout planning

Pilot scope and rollout planning

Define one owned workflow, one measurable outcome, success metrics, rollout sequencing, governance, and the implementation handoff.

Where AI usually pays off first

  • Document and data extraction: PDFs, engineering specs, receipts, scans, transcripts, and multi-format internal records turned into structured business data.
  • Internal knowledge and retrieval: policies, manuals, tickets, and internal records surfaced faster without forcing teams through disconnected tools.
  • Workflow copilots: AI embedded into CRM, ERP, admin systems, compliance reviews, customer portals, and approval-heavy internal workflows.
  • Computer vision and anomaly detection: visual inspection, defect review, asset analysis, pathology image work, and other image-heavy operational processes.
  • Forecasting and risk analysis: predictive dashboards, scenario support, and better decisions in data-heavy environments.

Who this is for

Good fit

  • Business owners and operators who feel they are under-using AI and need a real adoption plan.
  • Product teams that want AI features inside an existing application, not as a disconnected experiment.
  • B2B teams with CRM, ERP, portals, internal tools, or document-heavy workflows that already have a clear owner.

Weak fit

  • Vague AI transformation theater with no workflow owner, no measurable target, and no operational accountability.
  • Teams that want only a trend presentation or a chatbot because the category feels fashionable.
  • Projects that really need a software subscription or process cleanup instead of consulting.

Selected AI consulting and implementation examples

A consulting page is stronger when the company has already shipped the kinds of workflows it is recommending.

Optelos AI-powered visual inspection platform
Optelos - AI-Powered Visual Inspection Platform
1000+ hours saved
$50,000+ budget savings
Digital twins and AI inspection workflows
Worldsphere weather forecasting platform
Worldsphere - Weather Forecasting and Storm Tracking Platform
900+ hours saved
$45,000+ budget savings
Predictive storm dashboards live in 6 sprints
Look Who's Talking SaaS meeting management platform
Look Who's Talking - SaaS Meeting Management Software
700+ hours saved
$35,000+ budget savings
AI meeting insights in MVP

Browse All Case Studies

How an AI consulting engagement works

The work starts with the operating problem, narrows quickly to a shortlist, then ends with a pilot definition and implementation handoff.

  • Business and workflow review

    Start with where time is lost, where review work repeats, where information is trapped, and where decisions are delayed.

  • AI use-case shortlist

    Identify candidate AI opportunities, remove the weak ones, and focus on the workflows that have a real owner and measurable upside.

  • Feasibility and readiness

    Check inputs, data quality, system boundaries, review flows, integration points, and the operational risks that could derail rollout.

  • Prioritized roadmap

    Recommend what to do first, what to delay, what not to do, and where process redesign beats premature AI.

  • Pilot definition

    Define one narrow implementation, one owner, one success metric, and a realistic operating model for review and corrections.

  • Implementation handoff

    Turn the consulting output into a build plan for CRM, ERP, portals, internal tools, or broader custom delivery work.

Trusted by the worldʼs finest brands

Flatlogic products and services are used all over the world, including the following notable companies:

Independent feedback from delivery clients

The consulting position only matters because the same company also ships and supports real systems.

Flatlogic's work has met expectations. The team's work was clean and aesthetically pleasing, and the user interface is very intuitive.

Lee Mora

Director of Engineering, Software Solution Company

They delivered a high-quality platform and the feedback has been overwhelmingly positive. Flatlogic exceeded expectations and kept the project on track.

Lee Decker

Founder, Hubsoft

A flexible team, they're able to scale up and down and even swap out members seamlessly.

Ahmed Saimoon

President, Software & Services Company

The team delivers excellent results and responds quickly to client requests. They are communicative and professional.

David Tran

CEO, Optelos

Unlike many other firms, Flatlogic does high-quality work at a great price and turns general concepts into functional solutions.

Founder, QodesyQ Technologies

Frequently Asked Questions

Bring a workflow, not a buzzword.

Talk to an AI consultant

AI consulting services help a business decide where AI should be used, what to prioritize first, how feasible the use cases are, and what the rollout should look like.

AI consulting focuses on roadmap, use-case prioritization, feasibility, and rollout planning. Implementation work focuses on building the workflows, integrations, and production systems that follow.

Yes, when the workflow is real, recurring, and owned by someone inside the business. Narrow, measurable use cases usually outperform broad AI transformation programs.

No. Flatlogic has relevant delivery experience across transcript and document workflows, computer vision, predictive analytics, and multimodal business software.

Yes. In many cases the strongest results come from embedding AI into an existing workflow rather than launching an isolated tool or standalone chatbot.

The goal is not to stretch discovery into a long theory exercise. A strong first engagement ends with a shortlist of use cases, a clear first pilot, and an implementation path.

Need AI consulting services for a specific workflow?

Bring the repetitive process, data bottleneck, or stalled decision. We will help you decide where AI fits, what to do first, and how to turn the result into an implementation plan.

Talk to an AI consultant See implementation services