Architect quickly. Build relentlessly. Operate continuously.
Design locks the plan, Build & Ship turns it into working software, and Operate keeps that software adopted, tuned, and feeding the next build. Here's how we run all three.
“AI tools let us ship more often, review more carefully, and talk to customers more frequently. We get more time to focus on results for our customers and their customers.”
Design is brief and decisive.
Discovery through architecture runs on a tight schedule, in three named steps. You leave with an honest read on what to build, why, and how, plus the price tag and the risks named out loud.
Current state, real pain, the business outcome we are aiming for. We start from what the business needs to do.
Shape the solution. Pressure-test feasibility and trade-offs before anyone touches a keyboard.
The decisions that are expensive to change later: platform, data model, service boundaries, integration patterns. The Architect phase settles them, with a SOW that’s ready to sign.
Build & Ship comes in four shapes.
Buying delivery from Aquiva comes down to who owns what risk. Outcome puts all of it on us: scope, time, and price are fixed and ours to hit. Flex is the mirror image, where you own everything and we supply the people. The Aquiva AI POD and Scale sit in between. With a POD we own delivery while you set roadmap priorities; with Scale we own how the team runs while roadmap and scope stay with you.
Scale has the lowest hourly rate because a long commitment lets us plan utilization instead of pricing in idle time. Flex looks similar on paper but costs more per hour, because the freedom to resize the team or end early is priced in.
The Aquiva AI POD isn't priced per hour at all: a flat monthly rate buys a delivery unit designed to run on roughly 7% overhead, where a traditional capacity team typically loses 15–25%. Hypersense's 2025 effort-allocation study puts project management alone at 10–20% of team effort, and an APQC survey found knowledge workers lose about a quarter of their time to productivity drains. Measured in shipped work, the POD often beats both. Outcome trades a premium for certainty.
Outcome
You buy the result; we absorb execution risk.
- Scope locked up front. A price and a date are only as fixed as the scope under them.
- Fixed price tied to the result, not hours burned.
- Milestone-based delivery you can plan around.
- One team accountable for shipping, end to end.
"Tell me the price, tell me the date, ship the thing."
Aquiva AI POD
A managed delivery unit built around AI leverage. You set roadmap priorities; the POD handles decomposition, building, shipping, and communication.
- Designed for ~7% overhead vs. the ~15–25% typical on traditional capacity teams (Hypersense 2025; APQC).
- An Architect/Orchestrator, two Developers, and a Product Owner. One delivery unit, full-stack by default.
- Two parallel workstreams, with a deliverable in your hands every 1–5 days. Minimal ceremonies, but frequent communication.
- Fixed monthly rate. 6-month minimum.
"I want a unit that ships, not a team I have to run."
Scale
A team we run on your roadmap and your stack, for the long run. After 90 days it operates like an internal function.
- Managed team, sized to your roadmap. We run the rhythm: sprints, releases, quality.
- Lowest blended rate of any continuous model. The long commitment is what buys it.
- Same people month over month. Context compounds, edge cases get learned.
"I know what I need. Give me a team that operates like mine."
Flex
Augment your team with the composition you need; resize, reshape, or wind down as the work changes. Maximum control: you direct individuals day-to-day.
- You pick roles and seniority mix. We supply, vet, and replace.
- Embedded in your process, your tools, your ceremonies. You manage day-to-day.
- Higher per-hour rate than Scale. Flexibility has a price.
"I'll run it. You supply the people."
Pick by what you're buying
| Outcome | AI POD | Scale | Flex | |
|---|---|---|---|---|
| What you buy | A result | A delivery unit | A managed team | People |
| Who runs delivery | Aquiva | Aquiva | Aquiva | You |
| Who owns scope | Locked upfront | You (roadmap) | You | You |
| Commitment | Project length | 6+ months | 12+ months | Flexible, adjust or end as needed |
| Pricing shape | Fixed total | Flat monthly | Blended monthly | Per-role rate |
| Cadence | Milestones | 1–5 day cycles | Sprints | Your ceremonies |
| Best for | Defined deliverable | High-velocity delivery | Long-run roadmap | Variable staffing |
Outcome
- What you buy
- A result
- Who runs delivery
- Aquiva
- Who owns scope
- Locked upfront
- Commitment
- Project length
- Pricing shape
- Fixed total
- Cadence
- Milestones
- Best for
- Defined deliverable
AI POD
- What you buy
- A delivery unit
- Who runs delivery
- Aquiva
- Who owns scope
- You (roadmap)
- Commitment
- 6+ months
- Pricing shape
- Flat monthly
- Cadence
- 1–5 day cycles
- Best for
- High-velocity delivery
Scale
- What you buy
- A managed team
- Who runs delivery
- Aquiva
- Who owns scope
- You
- Commitment
- 12+ months
- Pricing shape
- Blended monthly
- Cadence
- Sprints
- Best for
- Long-run roadmap
Flex
- What you buy
- People
- Who runs delivery
- You
- Who owns scope
- You
- Commitment
- Flexible, adjust or end as needed
- Pricing shape
- Per-role rate
- Cadence
- Your ceremonies
- Best for
- Variable staffing
Two other shapes cover specific situations: Surge (Specialist burst, as-needed. A senior architect or specialist for a defined window. Premium rate, no long-term commitment) and Sustain (Managed services and ops. SLA-backed, always-on team handling incidents, releases, and platform health post-go-live). Ask if either fits the work better than the tracks above.
Operating is where outcomes compound.
Software only pays off when people use it. Most consulting engagements end at go-live; we stay and work on adoption.
Enablement
We prepare your users: training, documentation, and change management.
Adoption
Track usage, surface friction, close the gap between "deployed" and "actually used."
Optimization
Tune performance, cut cost, sharpen accuracy.
Insight
Production data shows where the next high-value bet is.
Compound
Use what you learned to prioritize the next build. That’s what makes the next cycle cheaper.
Numbers you can audit.
When you're paying a fixed rate, you should be able to see how the work is actually going. So throughout an engagement you see the same delivery numbers we steer by internally.
“Transparency leads to accountability, which leads to trust. We openly share our internal KPIs with customer stakeholders, early, to earn and maintain that trust through our engagements.”
Aquiva figures are internal metrics across engagements. Industry comparison drawn from Hypersense's 2025 software-development effort-allocation study (10–20% PM allocation) and APQC (~25% knowledge-worker productivity drains).
Let's start building.
Most engagements start with a 30-minute call about where you are and what's blocking the next move. We don't bring a deck.