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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.

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delivering since 2015 191,000+ tracked hours 72 client products 8+ year client relationships
AI planning interface beside an operations dashboard

Start with the workflow, not the model

The fastest way to waste an AI budget is to start with tooling. Start with the queue, review step, document flow, or decision bottleneck that is already slowing the business down.

  • Find the choke point: manual review, slow approvals, fragmented data, or repeated data entry.
  • Pick the right pattern: extraction, retrieval, forecasting, classification, or a workflow copilot.
  • Cut weak ideas early: use conventional automation or process cleanup where AI adds nothing.
  • Leave with a buildable plan: owners, systems, metrics, and the first pilot scope.

Advice from a team that ships

Flatlogic does not stop at recommendations. The engagement ends with a pilot scope, delivery plan, and a path into production owned by a real engineering team.

  • 191,964.6 tracked hours across 72 client products
  • 69.8% of work comes from 2+ year client relationships, where strong AI systems expand into daily operations
  • Optelos has worked with Flatlogic for 8+ years and is still shipping with the team. See the case study.
  • Shipped case studies across inspection, forecasting, and transcript intelligence
See Case Studies See implementation services
Optelos AI-powered inspection workflow screen

What our AI consulting services include

A practical AI consulting scope for businesses that need clear priorities, a real pilot, and a direct path to implementation.

Operations dashboard with AI planning interface

Audit

Workflow audit

Find the manual review, approval queue, or data bottleneck worth fixing first.

Customer management workflow panel

Prioritization

Use-case ranking

Rank AI opportunities by ROI, feasibility, data quality, risk, and time to value.

Structured data and schema planning interface

Data

Data readiness review

Check whether documents, records, images, and transcripts can support a reliable pilot.

CRM task management workflow dashboard

Architecture

System and integration plan

Map where AI plugs into CRM, ERP, portals, and internal tools without breaking the workflow.

Analytics dashboard with business metrics

Pilot

Pilot scope

Define one owner, one metric, one review step, and one narrow release worth shipping.

Delivery pipeline stages panel

Rollout

Rollout plan

Turn the recommendation into a build sequence, delivery plan, and production handoff.

Where AI usually pays off first

These are the workflows that usually move first because the bottleneck, owner, and upside are already visible.

Document extraction

Turn PDFs, engineering specs, receipts, scans, and transcripts into structured business data.

Knowledge retrieval

Surface policies, manuals, tickets, and internal records inside the tools people already use.

Workflow copilots

Support CRM, ERP, approvals, compliance, and back-office decisions without adding another disconnected app.

Vision workflows

Review inspection images, defects, assets, pathology, and other visual evidence at scale.

Forecasting and risk

Use operational data for prediction, scenario planning, and earlier decisions.

Best fit

Who this is for

The strongest AI consulting work starts with an owned workflow and a decision-maker who wants a practical first move.

  • Teams with one workflow owner, one clear bottleneck, and data that is already being touched every day.
  • Product teams that need AI inside an existing CRM, ERP, portal, or internal application.
  • Operators who want a measurable first pilot, not another AI workshop or chatbot side project.

Need AI software built after the roadmap is clear?

Bring the workflow, rough architecture, or backlog. Flatlogic can scope the pilot, build the integration, and move it toward production.

Talk to an AI consultant Build Your App with AI

Selected AI consulting and implementation examples

Shipped AI workflows across inspection, forecasting, and transcript intelligence.

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

AI Consulting Process

Most engagements move from workflow review to a working integration MVP within the first week, then through validation and rollout:

  • Day 1

    Workflow audit

    Map where time is lost, where reviews repeat, where data gets stuck, and where decisions slow down because teams are stitching systems together by hand.

  • 24 hours

    Use-case triage

    Shortlist AI opportunities, cut the weak ones, and focus on workflows with a clear owner, usable data, and measurable upside.

  • Days 2-3

    Feasibility review

    Check data quality, system boundaries, human review steps, integration points, and the operational risks that could block rollout.

  • Week 1

    Integration MVP ready

    Ship a narrow but usable MVP inside the target workflow so the team can test a real AI integration, not just review a recommendation deck.

  • Week 2

    Pilot review and tuning

    Review usage, failure cases, approval steps, and data quality, then tighten the workflow based on what operators actually do with the MVP.

  • Weeks 2-3

    Rollout and expansion plan

    Decide whether to productionize the MVP, connect more systems, widen the workflow, or scale the integration based on measured results.

Trusted by the worldʼs finest brands

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

What delivery clients say

Independent reviews from teams whose products Flatlogic shipped and supported. See more on Clutch, G2, Capterra, and Product Hunt.

They delivered a high-quality platform and the feedback has been overwhelmingly positive. Experienced and knowledgeable, Flatlogic exceeded expectations, while their ability to work collaboratively and keep the project on track made them a reliable partner.

Lee Decker

Lee Decker

Founder, Hubsoft

The team delivers excellent results, providing high-quality AI and UI deliverables and ensuring that the company can respond quickly and effectively to all client requests. They are communicative and professional, handling the expanding scope well and adhering to all processes and requirements.

David Tran

David Tran

CEO, Optelos

WOW! An incredible team. They have developed our product faster and better than I imagined possible. Great talent and really great people to work with. The whole team organises the project really well.

Sarah Ollier

Sarah Ollier

Chief Scientific Officer, Worldsphere.ai

Excellent application to accelerate development. I really like how easy it is to use and that it delivers what it promises.

Pablo Subiabre

Pablo Subiabre

CTO, Sitiowebpymes

Frequently Asked Questions

Bring the workflow, data source, or bottleneck. We will tell you where AI belongs and what to ship first.

Talk to an AI consultant

AI consulting services help a business decide where AI will create operational value, which AI use cases should come first, and what it will take to ship them. A strong engagement ends with a real AI roadmap: priority workflows, data readiness, architecture direction, pilot scope, and a practical implementation plan for CRM, ERP, portals, internal tools, and document-heavy operations.

AI consulting decides what is worth building, what should stay standard automation, and how rollout should work before money gets burned on the wrong build. AI implementation work is the execution layer: workflow design, retrieval systems, document extraction, model integrations, human review points, monitoring, QA, and production software delivery.

We start with the workflow, not the model. If rules, integrations, process cleanup, or standard automation solve the bottleneck faster, that is the recommendation; if the workflow genuinely needs classification, retrieval, forecasting, computer vision, or generative AI, we scope it as an AI build with clear boundaries and success metrics.

Yes. Small and mid-sized businesses usually get the best result from one owned workflow with a measurable outcome such as faster document processing, better lead routing, shorter review time, fewer manual handoffs, or better forecasting. Broad AI transformation talk is rarely useful; a focused first pilot usually is.

No. Generative AI is only one category. Flatlogic also works on document and data extraction, retrieval systems, workflow copilots, computer vision, anomaly detection, forecasting, and AI-assisted operations software, so the recommendation is based on the workflow and data, not on forcing an LLM into every problem.

Yes. AI becomes useful when it sits inside the systems people already use instead of becoming another disconnected app. Flatlogic scopes AI integration for CRM, ERP, admin panels, customer portals, support systems, compliance workflows, and internal business software so teams can use AI inside the real operating workflow.

A strong first AI pilot is narrow, owned, and measurable. It targets one workflow, one source of truth, one approval path, and one business metric so the team can judge value quickly, improve the weak spots, and decide whether to scale the AI system into wider operations.

A first AI consulting engagement should move fast. The outcome is a clear shortlist of AI use cases, a feasibility review, pilot scope, architecture direction, rollout plan, and implementation path, not a long discovery deck that delays execution.

Need AI consulting for a live workflow?

Bring the approval queue, document backlog, or data bottleneck. We will tell you what AI should do, what should stay conventional automation, and what the first pilot should be.

Talk to an AI consultant Book a Meeting