For systems integrators and consulting firms

Sell expertise, not hours.

AI is repricing the billable hour. Cisely turns your practice’s expertise into models that you own and sell again. Every client system passes the client’s gates, and every delivery carries the evidence that an outcome-based fee is paid on.

Talk to us How an engagement runs

Context Management: The client’s outcome, agreed; What the client expects, and the metric that will judge it, before the work begins.
Software Factory: Your expertise, as a model; Build the solution once, then deliver it to the next client in the sector.
Paroksh: Delivery with fewer people; Each consultant works with it, and every change goes to review.

What changed

Your clients want the AI saving. Your contracts still count hours.

Clients ask for the same work for less, and the work itself needs fewer people. A factory built on coding agents alone still produces code that every team governs by hand. And an outcome-based contract needs outcomes that somebody can show.

74% of Global 2000 buyers expect AI-led services to cost at least 10% less. 34% expect cuts of more than 30%.

HFS Research, Stop buying AI like labor, July 2026

Context Management · the client’s outcome

Agree the outcome before the work begins.

Write success down as measurable expectations, with the client, before anyone builds. The client owns the workspace and approves what goes into it. The engagement is organised around what the client needs to be true.

Agree the outcome first: Your consultants and Paroksh draft the client’s intent, stakeholders, expectations and metrics. The client approves each part.
Change gets a referee: A request either serves an agreed expectation or it does not. The discussion is no longer about who remembers which meeting.
The handover is readable: When your team rolls off, what they knew stays in the model. The client’s people and agents can read it.
Every change keeps its reason: Each change records its revision, its reason and who approved it.

Software Factory · your expertise, as a model

Build the solution once. Sell it to the next client.

Your solution is a model, not a codebase. It describes the domain, the rules, the permissions and the processes, and the Software Factory compiles it into a running system for each client.

A reference model per domain: Model the domain once. The next client in the sector starts from what your practice already knows, not from a blank page.
Client differences stay apart: Each client’s systems sit behind declared gateways. The client brings its own identity provider and authorization engine. Behaviour that varies is configuration.
Regeneration is safe: Hand-written code has its own place, and regeneration keeps it.
Pass the client’s gates the first time: Isolation, recorded authorization and a test for every promise come with every system. The client’s security team gets the evidence before the review.
Build before you get access: Cisely can stand in for a client system that your team cannot reach. You build and test before anyone grants access.
The client’s cloud and repository: Systems run on Cisely’s hosting or in the client’s own cloud, and the code goes into the client’s repository.

Paroksh · delivery

Deliver with fewer people.

Paroksh does the work with each of your consultants. Your people spend their judgement on the client’s domain, not on the plumbing every system needs.

Each consultant, with Paroksh: Each consultant works with Paroksh in an isolated session. Every session ends in a proposed change for review.
More delivered per person: Controls, tests, migrations and infrastructure come from the model. Your people spend their time on the client’s domain.
Cost in view: Cisely meters every AI model call against the client’s workspace, so you price with your cost of delivery in view.

Get paid on outcomes

The same record proves the value and pays your fee.

An outcome-based contract needs outcomes that both sides trust. In Cisely, the client judges the work against its own metrics, and every verdict carries its reason.

Validated, not just delivered: A delivered story counts only when the metric that measures its expectation says so, with a written reason.
The client judges: The client gives the verdict, not your team. That separation is what makes an outcome-based fee credible.
One record for both sides: The record that shows the client what the work achieved is the same record your fee is paid on.

How an engagement runs

Seven phases, and two rules.

The client owns the workspace, and your team gets scoped roles in it. The client gives the verdict, and your team drafts and delivers. Everything else follows from those two rules.

0 · Choose the priority: The client picks one priority, opens the workspace and gives your team scoped roles in it.
1 · Agree the context: Your consultants and Paroksh draft the intent, expectations and metrics. The client approves them.
2 · Plan the delivery: Your architects plan the systems, gateways and identity, starting from your practice’s model.
3 · Deliver: Each consultant works with Paroksh. Each session ends in a proposed change.
4 · Pass the gates: The evidence goes to the client’s platform and security teams before the review. Then release.
5 · Validate the outcomes: The client gives its verdicts against the agreed metrics. The same record pays your fee.
6 · The next priority: The model carries forward, and the client brings the next system.

We grow when you do

Cisely leaves delivery to partners.

Our promise is simple: partners earn more with Cisely than without it. You can also run Outcome Engineering for your own clients, on the same platform that Cisely uses.

You bring the domain: The vocabulary, the edge cases, the regulation, and the reason a rule exists at all. None of that is in a model weight.
You bring the market: The relationships and the standing in a sector, built over years. A platform cannot manufacture that.
We bring the platform: One model from intent to a running system, and an agent that works from it rather than guessing.

How Outcome Engineering works

Partner with us

Tell us what you build, and who you build it for.

We work best with firms that know a sector deeply and want to turn that knowledge into repeatable, governed delivery. Tell us about the clients and systems you support.