The efficiency baseline is unknown
The company sees departmental spending but not the cost of individual processes, delays, and repetitive operations.
No baseline metric
ROI cannot be proven
AI audit for mid-market and enterprise businesses
We find efficiency losses and calculate the ROI of AI implementation.
Applied intelligence for core processes: hard numbers on current losses, prioritized efficiency opportunities, and measurable return on investment.
Estimate efficiency potential
30 minutes, no slides — we work through your numbers
Sample ROI modelExample: request processing
Employees involved
12
Time spent on repetitive operations
2.5 hours per day
Fully loaded hourly cost
$16
Working days per month
20
Cost of repetitive operations≈ $9,600 per month
Realistic reduction potential60%
Potential capacity released
≈ $5,760 per month
Annual efficiency effect
≈ $69,000
Indicative payback
2–4 months
Illustration of the method. Your model is built using your own data.
Efficiency loss map
Losses rarely sit where teams look for them.
They are distributed across manual operations, fragmented data, and decisions made without a financial model. Isolated automations therefore fail to produce a measurable result.
Diagnostic fieldSignals require validation
Initiatives are not managed as a portfolio
Automation ideas emerge locally and compete for budget without a shared view of impact, complexity, and risk.
Fragmented initiatives
Resources are spread too thin
Solutions are selected before calculation
A tool or vendor is selected before the financial model and measurable outcome criteria are defined.
Technology before the problem
High delivery risk
Audit process
From business processes to an evidence-based decision.
In five working days, fragmented data and hypotheses become a financial model, a portfolio of initiatives, and a basis for an executive decision.
01A report quantifying current losses
02A map of efficiency initiatives with ROI estimates
03A prioritized implementation plan
04A presentation for leadership and the board
Company data
Decision-ready output
What you get
Company data
Processes01
Systems02
Metrics03
Establish the factual picture
Process map and baseline metrics
Build the efficiency model
Financial model and ROI hypotheses
Assemble the initiative portfolio
Priorities and practical plan
01
Establish the factual picture
We examine key processes, roles, systems, and constraints, separating observable facts from assumptions.
02
Build the efficiency model
We translate time, delays, errors, and manual operations into money and calculate realistic improvement potential.
03
Assemble the initiative portfolio
We compare opportunities by impact, complexity, risk, and data readiness, then define the implementation sequence.
Preliminary ROI model
Estimate the potential of one process using your numbers.
The calculator shows the scale of the potential hidden in repetitive operations. During the audit, the model is expanded with costs, risks, and implementation scenarios.
Set the baseline inputs
One process · 20 working days per month
Current operations cost
$9,600
per month
Potential monthly capacity released
$5,760
per month
Potential annual effect
$69,120
Indicative implementation budget
$14,400
Indicative payback
2.5 months
This preliminary estimate is not a business case. The actual model accounts for implementation and support costs, data quality, risks, and revenue impact.
Examples of measurable impact
Applied intelligence creates value when it changes business metrics.
Practical projects and public industry cases show applications ranging from internal knowledge and HR to mapping, manufacturing, and quality assurance.
01 / 06
Financial services · Operations
Practical project
AI assistant for searching internal policies and regulations
Client context
A large Russian bank operating across retail and corporate lending.
Measured result
₽13.0m
estimated company savings
78.5%
employee time saved
≥75%
queries recognized correctly
Business challenge
Reduce information-search time and repetitive operations performed by employees.
Applied solution
A conversational AI assistant queries the internal database and returns factual answers with source references.
The first three examples are based on practical project materials. Public industry cases use data from primary sources. Actual impact depends on process scale, data quality, and implementation conditions.
Alexander Khvostenko · Founder, X.A.M. Strategy
Who runs the audit
I assess business processes through a commercial lens.
My role is to connect processes, economics, and AI capabilities in one model leadership can use. The goal is not to demonstrate technology, but to identify where applied intelligence genuinely improves efficiency.
Experience across manufacturing, logistics, energy, and international B2B sales helps me see not only an individual operation, but its impact on commercial outcomes.
15+ years
Commercial and operational context
B2B sales and complex processes across manufacturing, logistics, and energy.
C-level
Executive decision language
Working with leadership through P&L, risk, priorities, and measurable impact.
Hands-on
Applied intelligence practice
I personally design AI agents and automations and understand delivery constraints.
5 regions
International commercial experience
Eastern Europe and CIS, the Middle East, Africa, and Asia, including India: experience across different markets, decision cultures, and business models.
Independence principle
The audit is not tied to selling a specific software product, integrator, or developer. Recommendations are based on business impact.
Products and scope
Choose the right engagement for your challenge and company stage.
For established businesses: efficiency opportunities and an implementation plan. For pre-launch teams: AI-product feasibility and a realistic launch plan.
Payment: 50% before start and 50% after the results presentation. Development, implementation, and vendor budgets are calculated separately.
01
Express Audit
Understand the scale of the opportunity and decide on the next step.
01Processes02Metrics03Losses
Priority
Best suited when
You need to validate a hypothesis quickly, select a priority direction, or prepare a leadership case.
Executive outcome
Clarity on where the greatest potential lies and whether detailed design is justified.
What drives the price
A focused process scope, interviews with key participants, and a preliminary ROI model.
Investment
from $1,500
Timeline5 working days
What is included
- Assessment of 3–5 core processes
- A map of prioritized initiatives with ROI estimates
- Concise report with findings and constraints
- 1-hour results presentation to leadership
02
Audit + Roadmap
Move from priorities to an implementation-ready plan.
01Audit
02Roadmap
03Launch
Best suited when
The decision to change has been made, but the team needs an aligned initiative portfolio and a clear sequence.
Executive outcome
A practical plan that can support an internal launch or vendor selection.
What drives the price
A deeper financial model plus analysis of dependencies, risks, data, and delivery requirements.
Investment
from $2,800
Timeline7 working days
What is included
- Everything in the Express Audit package
- Prioritized implementation plan
- Technical specification templates for developers and integrators
- 2-hour Q&A session with your team
03
Audit + Vendor Selection + Support
Maintain independent oversight from vendor selection through delivery.
Selection
Launch
KPI
ROI
Best suited when
There is no internal transformation owner, or an independent party is needed to oversee vendors and impact.
Executive outcome
Initiatives launched with control over KPIs, timelines, vendor decisions, and realized ROI.
What drives the price
Support continues beyond the report: vendor selection, recurring oversight, plan adjustment, and KPI control.
Investment
from $15,000
Timeline7 working days + 3 months
What is included
- Everything in the Audit + Roadmap package
- Independent vendor selection
- Weekly rollout oversight for 3 months
- KPI tracking and plan adjustments
04
NewFor pre-launch teams
Startup Consulting: Business Plan + AI Feasibility Audit
Turn an AI-product idea or ambitious specification into a realistic launch plan.
01Idea
02Feasibility
03MVP
04Business plan
Best suited when
The founding team has an idea or initial specification, but no technical co-founder, credible budget estimate, or clear MVP scope.
Executive outcome
An aligned MVP scope, phased budget, understanding of technical and legal risks, founder roles, and practical next steps.
What drives the price
Source-material review, AI feasibility audit, development-market research, MVP design, and business-plan preparation.
Investment
$2,500
Timeline7–10 working days
What is included
- Idea review with key risks and decision points
- AI feasibility audit including legal constraints
- MVP cost estimate and delivery-model comparison
- Founder-role allocation and team-gap analysis
- Business plan with MVP scope, roadmap, and budgets
- Founder presentation and revision after feedback
Contact
Choose the right next step
Use the short form for an initial conversation. If you are ready to begin an audit, complete the detailed brief and skip the separate questionnaire.
Prepare for an AI audit
Five sections establish the company, process, data, and audit-readiness baseline before the first meeting.
01
Company scale and strategic objectives
02
Processes, volumes, and efficiency losses
03
Systems, data quality, and accessibility
04
Objectives, success criteria, and decision boundaries
05
Team, materials, and audit readiness
20–30 minutes · ranges are welcome and answers can be prepared with your team