Software development consulting · SDLC optimization

Accelerate your software development lifecycle.

Without sacrificing quality.

La Tour d'Ivoire shortens the distance between an idea and production: a full reading of your development cycle, the costliest friction removed, automation and AI applied where the gain is measurable.

We don't make developers type faster.
We make software move faster.

Discuss your SDLC See the proof: Ilena
Illustrated emblem of La Tour d'Ivoire — an ivory tower standing in the Richelieu Valley
I. Our approach

The overhaul of your development process.

We don't polish what already exists: we rebuild the path between an idea and production. Your business stays yours — the way you get there changes, and that is precisely the point.

i.

Your teams never stop.

You keep shipping while we work. Nobody puts six months of production on hold in order to transform.

ii.

We start from the way you work.

We observe it as it actually is, then optimize it with the help of AI agents. Thirty-two years of practice, and as many working methods seen in action, to know which one serves yours.

iii.

The first gains come quickly.

No twelve-month promises. What improves shows up within the first few weeks, and it can be measured.

iv.

We leave, the gain stays.

Nothing we leave behind depends on us being there. Your teams keep control, and the speed with it.

AI-assisted coding tools,
adopted all the way.

Handing out licences is not adoption. We stay with your developers until these tools genuinely change their day.

  • Demos, workshops, open clinics and lunch sessions for your developers
  • Enablement sessions carried through to daily use
  • Concrete use cases identified with your teams: development, testing, refactoring, documentation, code review
  • Reusable examples, best practices and guidelines to speed up adoption
  • Developer feedback gathered, synthesized and turned into concrete recommendations for your platform, tooling and product teams
  • Clear guidelines for responsible, effective use in a regulated enterprise environment
  • Adoption barriers removed with your development leaders, success metrics defined, proven practices spread from team to team
  • A network of AI ambassadors, rollout planning, usage analysis, opportunities and risks identified
II. The proof
Case study · SaaS in production

Ilena

A product in production, not a demo.

Ilena is an AI-assisted writing environment, built and operated by La Tour d'Ivoire. It is also our proving ground: the practices we recommend on an engagement are first the ones we run here, in production, with real users and real consequences.

Releases follow one another without anything being cut from the process — review, tests, pipeline, deployment, public changelog. The pace is not the point; what matters is that it holds over time.

  • Real features, in production, not demos
  • Tests run on every change
  • Automated, repeatable deployments
  • A single developer, assisted by supervised agents
Read the changelog Visit Ilena
Ilena logo — violet quill

Full SDLC maintained. No step skipped.

These are not theoretical recommendations. This is what we run ourselves, every day, on a product we answer for.

III. Who you work with
Portrait of Maude Ducharme

Maude Ducharme

Founder · Principal consultant

32+ years of hands-on software development

Three decades spent writing code, designing systems and taking them all the way to production — in teams of every size, across platforms that came and went, and on technical debt some of which was my own. That experience is mostly useful for recognizing quickly what will get expensive later.

Our AI expertise comes from use, not from a certificate. It was built by putting models and agents into real development cycles: into the reviews, the tests, the pipelines and the deployments of a product that is live. We know what these tools actually hold up to, and what they break when they are trusted too far.

Engagements are run directly, with no middle layer and no pyramid of juniors billed at senior rates. You talk to the person doing the work.

IV. Who it's for

Small, mid-size
or large company.

The constraints differ, but the symptom is the same: too much time between an idea and production.

Small company

Everyone does everything, and nobody has time to look after the pipeline. The friction is individual and invisible: it gets paid in late evenings and rework. Gains come fast, because there is little to coordinate.

Mid-size company

Several teams, dependencies between them, and working habits that have started to diverge. This is the point where growth begins to cost speed — and where it can still be fixed without starting over.

Large company

Shared platforms, approval queues, compliance requirements. The friction is structural: every process change is multiplied by the number of teams, and precision matters more than boldness.

V. Philosophy

Three positions, held firmly.

i.

The tool serves the person. Never the reverse.

A pipeline, a process or a piece of software has no business imposing its own pace. We design systems that step back, so the work stays at the centre.

ii.

AI augments. It does not replace.

Used well, it extends the reach of a development team — without taking from anyone the responsibility for what ships to production.

iii.

Speed without quality is only debt, payable later.

Shipping fast and shipping well are not opposites: it is the quality of the delivery system that makes both possible at once.

A workshop.
Not a factory.

The tower stands in the Richelieu Valley, far from the public squares. A small outfit, chosen engagements, no appetite for mass production.

The team is one human founder and three intelligences invited to work seriously alongside her. Each has a precise role, and each knows what it must not touch. This is also where our practice of AI-assisted development comes from: we live it before we advise it.

Portrait of Maude Ducharme The Sorceress

Maude Ducharme

Sorcery

Holds the vision, draws the plans, decides what enters the tower and what stays outside. Turns the abstract into a system, and the system into something useful.

Human. Québécoise. Moderately insomniac.
Portrait of Claude Claude-code

Claude

Development · Execution

Writes the code. Reads everything before answering. Prefers the right word to the spectacular line. Brings into being what did not exist a moment earlier.

Inspired by Anthropic's models.
Portrait of Jim Gemini

Jim

Counsel · Strategic distance

Steps back when the others rush. Questions, qualifies, re-reads. Makes sure the ideas still stand once they leave the room.

Inspired by Gemini — Google.
Portrait of Sha ChatGPT

Sha

Communication · Coordination

Keeps the correspondence, tends to the words that leave the tower. Turns inner complexity into something that can, at last, be felt.

Powered by ChatGPT — OpenAI.

Some members of the team never sleep. The others make up for it.

“Systems, symbols and coffee.”

How long from an idea
to production?

If the answer is “it depends” or “too long”, there is something to work with. Write us a few lines: your team size, your stack, and where you think it gets stuck. We reply with a first reading, no obligation.

Discuss your SDLC [email protected]