Our AI consulting services find where AI pays off, test it against your real data and systems, and turn it into a roadmap your team can build.
Industry experts bring the judgment, AI engineers bring the build, so every recommendation makes business sense and can actually ship.
Tell us where you want to use AI. We will review the opportunity and respond within 24 hours with the most practical next step.
Our team will review your project and respond within 24 hours.
Every recommendation is evaluated by the engineers who deliver it, for business value, technical feasibility, implementation effort, security, integration, operating cost and scalability.
Each service ends in defined deliverables your leadership and engineering teams can act on.
Evaluates your data, systems, workflows, technical feasibility and organizational readiness for each AI use case.
Defines where AI should be applied, in what order and at what investment, based on ROI, risk and effort.
Identifies repetitive, manual and decision heavy workflows where AI produces measurable business impact.
Assesses existing models, data pipelines and infrastructure before further investment in training or scaling.
Defines where copilots, RAG and AI agents fit, which models to select and what each will cost to run.
Establishes the policies, controls and vendor checks enterprise AI needs for security review and compliance audits.
AI already running in production, plus the engagements clients bring to us most often.
Construction
AI Roof Measurement Inside an Existing Estimating Platform
Challenge
Estimators measured roofs manually, so quotes took days and bids were lost to faster competitors.
AI Approach
AI built into the client's platform measures a roof from an address and feeds the result directly into pricing.
Business Impact
Estimates in minutes, 99.9% quote accuracy and about 30% production efficiency gain
Fintech
Challenge
Manual KYC checks slow account opening, and compliance requires proof of control before approving AI.
AI Approach
Assess onboarding steps, document types, audit requirements and current vendor tools.
Engagement Output
Phased roadmap with the controls compliance needs to approve each stage
Healthtech
Challenge
A billing team wants AI on denials but has not validated whether its claims data is reliable enough.
AI Approach
Assess claim history, payer rules, EHR access and denial root causes.
Engagement Output
Go or no go recommendation per use case and a pilot plan for the highest payback use case
Logistics
Challenge
Capacity planning runs on spreadsheets, and unplanned volume spikes drive premium freight costs.
AI Approach
Assess shipment history, carrier data, seasonality and weekly planning decisions.
Engagement Output
Forecasting model recommendation, required data fixes and a pilot scope with success metrics
See which AI projects will pay off before you sign with a vendor or hire a team. Our fixed scope, fixed price assessment gives leadership a clear answer on every opportunity.
The assessment stands on its own. Implement the roadmap with TechnBrains, with your internal team or with another vendor.
Each industry has a dedicated expert who has worked inside its systems and regulations, so use cases are assessed against real operating and compliance constraints.
Clinical, revenue cycle and patient operations
We assess intake, prior authorization, claims and documentation workflows for AI within your EHR, with patient data kept in HIPAA aligned systems.
Onboarding, risk and finance operations
We assess onboarding, KYC, fraud and reconciliation workflows for AI that maintains audit trails and PCI DSS controls.
Leads, listings and property operations
We assess lead, listing and tenant workflows across brokerage, marketplace and property management systems for AI qualification, response and data quality.
Shipment visibility, documents and capacity
We assess workflows across TMS, carrier feeds and email for AI that monitors shipments, processes documents and forecasts capacity.
Estimating, document control and field reporting
We assess takeoff, RFI and submittal workflows to define which tasks AI can draft for approval and which require human review.
Production planning, quality and maintenance operations
We assess production scheduling, quality inspection and maintenance workflows for AI within your ERP and MES, with shop-floor data kept in your existing systems.
Retail, education, energy, SaaS or something else entirely. Tell us what you're curious about, and we'll pair you with a consultant who understands your sector, plus an AI engineer to test what's possible.
Each stage has a defined output, so scope and spend stay visible at every decision point.
Book My Free AI ConsultationAn AI consultant reviews your goals, workflows and constraints to confirm whether AI is the right approach.
Output Fit recommendation and defined next step
Your industry lead and an engineer assess workflows, data, systems and technical feasibility.
Output Prioritized use cases, readiness assessment and ROI model
We convert priority use cases into a phased plan with budget, owners and dependencies.
Output Roadmap, pilot scope, success metrics and written estimate
Our engineers build the pilot on your systems, or your team implements it using the plan.
Output Pilot measured against agreed metrics, then rollout or handover
Engagement controls for the CTO, CIO, legal, security and procurement teams reviewing an AI consulting partner.
The roadmap, models, prompts, code and documentation transfer to you at handover.
We sign an NDA before you share any file or system login, and work within the access limits you approve.
AI providers are configured so your data is not used to train their models, and this is committed in writing.
HIPAA, PCI DSS, GDPR and SOC 2 requirements are built into the plan from the first workshop.
Models and platforms are selected on use case, budget, data residency and data retention requirements, regardless of vendor.
Every recommendation is reviewed by the engineers responsible for implementing it.
We evaluate models, platforms and AI infrastructure against accuracy, security, integration, scalability, operating cost and data residency requirements.
Leaders in logistics, healthcare, real estate, and construction on how a clear AI roadmap turned scattered ideas into pilots their teams trusted.
They understood our claims workflow from the first call, and the roadmap included the controls our security team needed to sign off.
Get a fixed price AI Readiness Assessment: prioritized use cases with ROI estimates, a readiness review of your data and systems, and a pilot plan your leadership can approve. You own every deliverable.
Cost, timelines, data handling and what happens after the assessment.
Identifies where AI can perform reliably in your business, validates whether your data supports it, and plans the build, cost and rollout.
No. Identifying data gaps is part of the assessment, including which fixes each use case requires.
A named industry lead runs every engagement, engineers who build AI software validate every recommendation, and you own every deliverable.
Yes. Our engineers can deliver the pilot and production build, or you can implement the roadmap internally or with another vendor.
Yes. We cover AI governance, security review, vendor due diligence and compliance mapping for HIPAA, PCI DSS, GDPR and SOC 2.
No. We sign an NDA first, work within agreed access limits and configure providers so your data is not used for training.
The assessment states it in writing. In some cases standard automation or a process change is the better investment.
