Why Invotech
Lean is a structure,
not a discount.
We are not a cheaper version of a large firm. We are built without the parts of one you were never buying on purpose — and the difference is passed through, not absorbed.
What we fix
Three problems, three answers.
Each of these came from what we keep seeing in mid-market companies. So did the response.
The problem
The AI licenses are paid for. Nobody uses them effectively.
What we do instead
We teach by role, on real files.
Sessions are built around each function's daily work, then followed by weeks of handholding, a champion in every team, and reporting on usage and time saved. Success is measured in usage, not attendance.
The problem
You need one expert. You get a team of twelve.
What we do instead
We send the expert.
No partner oversight to fund, no engagement manager, no analyst layer. Around 85% of the fee reaches expert time, against roughly 35% at a large firm — for the same hours delivered.
The problem
Offshore bills by headcount, not by outcome.
What we do instead
We build the center to need fewer people.
A Tier-2 cost base, a month of AI-tool training before go-live, SOPs and a knowledge bank from day one, and your own employee embedded with our lead. 25%+ fewer resources for the same scope.
Three costs we do not carry
85%
of the fee reaches expert time
Against roughly 35% at a large consulting firm, for the same expert hours delivered.
25–30%
lower cost on talent
No bench to carry, no recruiter layers, no agency margin added to the rate.
60
cost index offshore
Against 100 for a metro offshore team on the same scope of support work.
Figures are illustrative and validated against your scope and volumes before any engagement is priced.
How we operate
What you get instead of the overhead.
You talk to the people doing the work
No account management layer sits between your question and the person who can answer it.
Scoped to one measurable outcome
Engagements are sized to a result, not to a minimum team or term. When the outcome lands, the engagement can end.
Quality gate before volume
One or two right candidates with our interview notes attached, rather than ten resumes and a hope that one sticks.
Nothing lives in one head
SOPs, runbooks and a knowledge bank from day one, so attrition does not reset what you have paid to build.
Built to hand back
Trained champions and documented process mean the capability stays with you after we step back.
Transparent on cost
You see who we screened, what we assessed, and what each person costs. No markup hidden inside a blended rate.
Engagement models
Four ways to start.
Most clients begin with the smallest one that answers their question, then widen.
- 1
A few weeks of one expert
A fractional SME for a process review, an architecture check, or an operating model decision. No retainer.
- 2
A person on your team
A vetted specialist placed against your role, screened to an 85% fit before you see the profile.
- 3
A delivery team offshore
A greenfield center with your employee embedded, AI-trained before go-live, with two months of transition overlap paid by us.
- 4
An adoption program
Copilot and Claude rolled out with governance, role-based fluency, champions and measurement.
Placeholder — to be supplied
[CLIENT PROOF POINT NEEDED]
A named client outcome, a short quote, or a before-and-after number belongs here. Nothing has been invented to fill the space — replace this block with a real reference when one is cleared for use.
Let’s pick one workflow and prove it.
Bring the process that frustrates your team most. We will tell you whether AI, an expert, or another pair of hands is the right answer — and what it would take.