§ 00 — Introduction

Enterprise software services, rebuilt for the AI era

Same outcomes.
Smaller teams.
By design.

We're an AI-native engineering team that builds on the enterprise platforms you already own — and replaces the custom add-ons you're overpaying for. When a traditional services firm proposes twelve engineers, we propose four, and ship the same scope on the same timeline.

See how we price an engagement → What we build
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§ 01 — The thesis

The services industry has one business model. We built the other one.

More people, more hours, more revenue. It's why your current vendor keeps proposing larger teams and longer timelines, and why "augmenting" the team always means adding to it. The incentive is structural, not malicious — but you're the one paying for it.

Our engineers are AI-native. Not "trained on AI tools" as a marketing line, but working in Claude Code, Cursor, and the rest of the modern stack as a matter of daily practice, at every level from associate to architect. The leverage is real, and it compounds: a four-person team of ours produces the throughput a traditional ten-person team does, on the same clock.

We pass that leverage to you — as smaller teams, shorter engagements, and pricing tied to what we actually delivered rather than the seats we filled.

How the math works on a typical engagement
A legacy services firm proposes
12
Engineers on the account. Time & materials. Revenue scales with seats, not outcomes. Adding people is how the invoice grows.
vs.
We propose
4
Architect, two seniors, one associate. Priced to the scope, not the seats. Same timeline. Same deliverable. Measurably smaller invoice.
§ 02 — Practice areas

Extensions to the platforms you own. Replacements for the add-ons you overpay for.

Most enterprises are paying twice for the same capability. Once in license fees to add-on vendors that sit on top of your platforms — ServiceNow, Salesforce, Workday, SAP, Atlassian, and the rest. Again in services fees to stitch it all together and keep it alive. We work on both sides of that bill.

01

Enterprise product extensions

Net-new capabilities built directly on the platforms your teams already live in. Native, upgradeable, and owned by you — not rented from a third party whose roadmap doesn't share your priorities. This is most of what we do and where AI-native engineering leverage shows up most clearly: the surface area of enterprise platforms rewards engineers who can move fast across configuration, code, and integration.

02

Custom product replacements

Purpose-built alternatives to add-ons and niche products that grew expensive, opinionated, or stale — and that your team has quietly outgrown. Often delivered at a fraction of the three-year cost of the license-plus-services package you're renewing today.

03

New-build products

Internal products and customer-facing products that a traditional services firm would scope to a fifteen-plus person squad. We deliver with four to six engineers and modern tooling, architected to be owned and extended by your team after we're done.

§ 03 — Team composition

Architect-led. Tiered on purpose. Small by design.

Every engagement is led by an architect who stays with it end to end — from scoping through handover. Beneath that, a deliberately tiered team: senior engineers who own the hard design problems, mid-levels who execute and pair, associates who learn on real work under real accountability.

Every engineer, at every level, is trained and practiced on current AI coding tools. Not as one more thing in the toolbox — as how we work.

The levels exist because the levels make the math work. A flat team of senior engineers is expensive and wastes their time on tasks an associate could own. A flat team of associates produces code no architect wants to ship. The pyramid costs less, moves faster, and — because the leverage compounds downward through the levels — delivers more than a larger undifferentiated team of "resources."

A typical four-person team — one architect, two seniors, one associate.
Tier 01
Architect
End-to-end ownership. Scopes the work, shapes the solution, stays accountable through handover.
Tier 02
Senior engineer
Owns the hard design problems. Leads pairing, makes the key trade-off calls with the architect.
Tier 02
Senior engineer
Owns a workstream. Full delivery accountability on the component they lead.
Tier 03
Associate engineer
Executes with AI-native tooling. Learns on real work with real accountability, not rotation seats.
§ 04 — Engagement economics

We'd rather be paid for what we delivered than the hours we logged.

Three ways to work with us. Pick the one that fits the initiative.

§ 05 — Our people

Commitment to employees isn't a slogan if it doesn't cost the firm something.

Every services firm claims to care about its people. The ones that actually do are known for specific practices, not warm language. Our economics depend on our engineers staying, deepening their craft, and compounding their output here rather than somewhere else. That shapes specific choices we've made.

Practice 01

AI tooling and practice time are a capital investment, not an expense.

Every engineer at every level gets continuous training on current tools, paid time to become fluent in new ones, and credit for bringing new practices back to the team.

Practice 02

We don't default to billing our engineers by the hour to you.

The hourly model puts a timer on craft. Our outcome-linked model puts the measurement on the delivery instead — which lets our engineers spend their day on the problem rather than on their timesheet.

Practice 03

Career paths from associate to architect are built inside the firm.

The levels mean real things — ownership, accountability, judgment deltas — not titles and raises. An associate who joins us should have a visible path to architect, and the practice time to walk it.

Practice 04

Profit share on outcome-linked engagements.

When we earn more from overdelivery, the team that delivered it earns more. The interests are aligned by construction, not by memo.

§ 06 — Selected work

A few recent engagements.

Custom product replacement

Replaced a licensed add-on with a native extension on the client's existing platform.

Team3 engineers
Timeline[N] weeks
Three-yr saving$[Y]
New-build internal product

Delivered an internal portal originally scoped to a fifteen-person squad across two vendors.

Team5 engineers
Timeline cut[N] months
HandoverOwned by client
Stalled program rescue

Took over a platform implementation that had stalled under a major SI.

Headcount½ of incumbent
Backlog cut50% in one qtr
EngagementOutcome-linked

Placeholder structure. Real case studies — anonymized or consented — replace this section once available.

§ 07 — Let's talk
Start here

Send us what your current vendor just proposed.

A sanitized version is fine — team size, timeline, scope, and budget band. We'll come back with what we'd propose instead, what we'd drop, what we'd add, and the reasoning behind each call. A written response in five business days. No deck, no sales dance.

If it's easier, describe the initiative in your own words. Same response.

Start a conversation → hello@meghawisdom.com