Home/How we work
The build model / all product lines

We embed, build with you, and hand over.

One engagement model runs all product lines. A small senior pod builds alongside your people, in two-week sprints, inside your security boundary.

2wks
To a baseline
14wks
Pilot to full estate
100%
Actions traced
0
Data leaving your cloud
100%
Fields linked to a page
01 / why build, not just buy a tool

Your stack, your data, your boundary.

Off-the-shelf tools stop at the edge of your environment, and only ever cover the slice they were built for.

Fits your security boundary

Runs inside your cloud and your IAM. No metadata leaves for a third-party SaaS, and no page of a contract is uploaded anywhere.

Integrated, not bolted on

Wired into your tagging, CMDB, data platform, canonical schemas, stewardship queues and existing approval process.

Tuned to your workloads

Forecasting fitted to your demand curves and provider mix; extraction tuned to the document families you actually receive.

The grid, not one column

Specialist capture tools each own one document family. The layer covers the rest of the grid — one pipeline, one schema, one set of stewards.

Capability, not dependency

We transfer knowledge sprint by sprint, so your people operate, tune and extend it, set the thresholds and run the exception queue.

De-risked by accelerators

We carry the reusable ~70% — connectors, a model library, the five-stage pipeline, agent templates, a command-center blueprint — and build the ~30% that's uniquely yours.

02 / deployment & customization

Built by gothink.ai. Deployed in your ecosystem.

A system that forecasts your spend, reads your contracts or writes to your master data is too close to the business to run anywhere else.

Exhibit A· deployment topologynothing crosses out
gothink.ai sends products, models, connectors, agent templates and run-books inward across the customer boundary. Nothing crosses outward. GOTHINK.AI · WE CARRY THE REUSABLE 70% products models connectors agent templates run-books IN OUT YOUR BOUNDARY · VPC · IAM · KEYS pipelines five-stage layer agents command center approval gates traces Your data · records · lineage · audit trail never leaves · nothing trains our models
What crosses inward is code, models, connectors and thresholds. What crosses outward is nothing — which is why an air-gapped deployment is ordinary here: the topology does not change, only what the connectors may reach.
What we build & maintain

The agents and the pipeline

Forecasting, attribution, optimization and procurement on GoSpend; the five stages on the GoCore; typed tools, plans and gates on custom agents.

Modelsfitted on your estate, in your account
Connectorsprovider, ERP, content repos
What stays under your control

Environment, data, thresholds

Your environmentVPC · IAM · keys
Your datarecords, traces, lineage
Your thresholdsconfidence & approval limits
Your evaluationthe ground-truth set
Your approversnamed, on every gate
03 / how we deliver

A phased build: value in weeks, scale in a quarter.

Each phase ends in a working, measurable outcome. You decide whether to proceed at every gate.

PhaseDurationWhat happensGate
01 Discover2–3 weeksEstate assessment, source inventory, data access, and the baseline — a savings target, a scored question, or the master fields a document family should populate.baseline agreed
02 Design2 weeksReference architecture for your stack, security review, schema mapping, confidence thresholds per field, and the build backlog.architecture signed
03 Build (pilot)4–6 weeksConnectors and engines live on one estate: forecasting and attribution, or one document family running all five stages into a sandbox master.the number is proven
04 Productionize & scale6–10 weeksRoll out across estates and document families, add optimization and procurement, tune confidence, stand up the steward workflow.estate-wide
05 Operate & improveongoingRun-books, documentation, enablement — then continuous learning: corrections retrain extractors, realized spend recalibrates models.handover
Two-week sprints, a demo at every gate. Savings tracked live against your actual bill; extraction scored against a ground-truth set your experts signed.
04 / engagement model

One blended squad.

Your engineers work in the same environment from sprint one, so the team that will operate the system is the team that watched it get built.

From gothink.ai

A small, senior pod

Engagement leadoutcome, targets, stakeholders
AI engineermodels, extraction, routing
Data & platformconnectors, pipeline, deployment
Full-stackcommand center, APIs, approvals
From your side, part-time

Embedded counterparts

Platform / cloudaccess and guardrails
Data ownertagging, CMDB, schema
Steward / SMEthresholds, exceptions, ground truth
GoSpend / financetargets and approvals
05 / deployment & trust

Your spend data and your documents never leave your boundary.

We're a build partner, not a data lake or a landlord.

AWS · Azure · GCPKubernetesOn-prem Your IAM & keysConfidence gates Approval thresholds →Field-level lineageFull audit trail
Nothing you runtrains anything of ours
No external model providerever sees a page
Every action above your thresholdwaits for a named approver
The ask / start with a scoped pilot

Turn the work you keep discovering by hand into a governed capability.

Three steps, one quarter, measured against your live numbers.

1

Pick a pilot estate

One business unit, one question answered by hand, or one document family.

2

Run a discovery sprint

Two weeks: baseline, target, and a build plan for your environment.

3

Prove the number

Measured in your environment, not in a model.