Operations audit
Time-and-touch analysis of a department
We shadow the real process, quantify manual effort per step, and rank each step by automation value against effort.
AI Strategy & Automation Consulting
Decide where AI actually belongs in your business.
We assess how your organization operates today, identify the automation opportunities worth pursuing, and produce a roadmap ranked by business impact, implementation complexity, risk, and long-term scalability.
What this is
Know which processes to automate first — and which to leave alone.
Most AI initiatives stall for the same reason: the technology was chosen before the problem was defined. We work in the other direction. We start with how work moves through your business — who touches what, where information gets re-entered, where decisions wait — and only then evaluate which tools and models fit.
The output is a document your team can act on: a prioritized list of opportunities, an honest view of what each one takes to build, the data and access each depends on, and a recommended sequence. If a process should not be automated yet, we say so and explain why.
Problems this addresses
Signs this is the right next step.
Leadership is under pressure to “do something with AI” but has no framework for choosing.
Pilots get built, demo well, and never reach production.
Nobody has mapped which processes consume the most staff hours.
Tool decisions are made per-department, creating overlap and cost.
There is no view of what data exists, where it lives, or whether it is usable.
Vendor claims are hard to evaluate without in-house technical review.
Capabilities
What the engagement covers.
Scope is agreed in writing before work starts. Not every engagement includes every item below — the mix is set against your constraint.
- AI readiness assessment
- Workflow and process audit
- Automation opportunity mapping
- AI implementation roadmap
- Technology-stack evaluation
- ROI and feasibility analysis
- AI governance planning
- Vendor and platform selection
Business use cases
Where this creates value.
Build-versus-buy review
Evaluating a vendor before you sign
An independent technical read on whether an off-the-shelf platform covers your requirements or leaves gaps you will pay to close later.
Roadmap
A sequenced six to twelve month plan
Phased delivery with defined success criteria per phase, so budget is released against results rather than promises.
Governance
Rules for how AI gets used internally
Approval paths, human review points, acceptable-use guidance, and a record of which systems touch which data.
Implementation
How the work runs.
Each phase produces something you can review. Progress is demonstrated in working software and written decisions rather than status updates.
Discover
Interviews with the people doing the work, system inventory, and access review.
Analyze
Effort and volume measured per step; opportunities scored on impact, complexity, and risk.
Recommend
A written roadmap with sequencing, dependencies, cost ranges, and success criteria.
Support
We stay available through the first build so the plan survives contact with reality.
Technology and integration
Assessments are tool-agnostic. Where a recommendation names a platform, we explain why it fits your constraints and what switching away from it would cost later.
Security and governance
Assessments frequently touch sensitive process documentation. We work from the least access needed, keep findings in systems you control, and flag any process where automation would move regulated or personal data before it is designed.
Our security approachQuestions
About ai strategy and automation consulting
For a single department, typically two to three weeks from kickoff to delivered roadmap. Company-wide reviews take longer and are usually split into phases so you get usable output early.
No. The roadmap is yours regardless of who implements it. Some clients run the assessment specifically to brief an internal team or to evaluate other vendors.
Then that is what the report says. A rules-based automation, a configuration change in software you already own, or a process fix is often the better answer, and it is cheaper to hear that before a build starts.
Access to the people who actually run the process, read access to the relevant systems, and roughly four to six hours of interview time spread across the engagement.
Related capabilities
What this usually connects to.
Business Process Automation
Cut the manual handoffs that slow every process down.
Explore this serviceData Engineering & Business Intelligence
One set of numbers, defined once, updated automatically.
Explore this serviceManaged Technology & Optimization
A technology partner who is still there in month six.
Explore this serviceTell us what this process costs you today.
We will give you an honest read on whether ai strategy and automation consulting is the right next step, and what a first engagement would involve.