Starting point
System selection, vendor demos and broad discovery.
The business outcome, the live routine and the existing stack.
Applied AI implementation method for the built environment
Swift™ is OphieAI's method for minimising time-to-value with applied AI. We start from the business outcome, build around your current systems, and add the custom AI layer needed to transform your workflows.
Swift™ is built for contractors, facilities managers, designers and M&E teams. We deliver systems that run on the drawings, tenders, delivery orders, invoices, site records, spreadsheets and project folders your work already uses. The method flexes to your digital maturity.
The Swift™ Approach method
Name the operating outcome, current routine, systems involved and staff who know what good looks like. This might be faster drafting, cleaner DO-PO-invoice matching, RFQ intake or project control across live jobs.
OutputScope boundary, sample documents, workflow map and technical starting point.
Build a week 0 prototype on real drawings, registers, tender packs, delivery orders, invoices, site records or project folders, using your current stack as the base. The prototype turns the workflow into something users can inspect before the specification gets abstract.
OutputWeek 0 prototype, source data, review screen and open technical decisions.
Turn user corrections into rules the system can follow across drawings, claims, invoices, RFQs and approvals. Each workflow gets real examples, a definition of good and checks matched to the work it produces.
OutputCalibrated workflow, review rules and test cases.
Run the workflow on live project volume, with review points for exceptions, approvals and decisions that affect cost, claims, compliance or customer commitments.
OutputLive workflow, review queue, score report and support plan.
Hand over the configured workflow and teach your operating leads how to run, inspect, correct and extend it as projects, sites and customer requirements change.
OutputRunbooks, configs, release process and known limitations.
Delivery targets
80%
Faster time-to-value
Working output in weeks, versus a traditional twelve to eighteen month implementation arc.
92%
Less time to first output
Working output in week 2, versus a six-month path to first usable output.
85%
Lower TCO
Lower build and support burden by reusing current systems and handing over configured assets.
<3mo
Target payback period
Payback comes from less manual effort, fewer missed claims, lower leakage and higher tender win rates.
Actual results depend on the workflow, the data and the state of the existing stack.
Swift™ Approach
System selection, vendor demos and broad discovery.
The business outcome, the live routine and the existing stack.
A workshop specification written before users touch the system.
Real documents, drawings, registers, historical outputs and user corrections.
Standardise, migrate or replace before value appears.
Keep what works, then add the AI layer where it changes the operating result.
An application or proof of concept that still needs operational work.
A working workflow with its skills, schemas, interfaces, API contracts and evaluation cases.
User acceptance testing near the end, based on subjective review.
Golden sets, deterministic checks and grounded evidence from the start.
Training after the build, separated from how the system was made.
Operating leads co-build, correct, inspect and inherit the assets.
Every new process starts another project cycle.
Routines compound on the same data structure, skill base and toolkit.
Months before a useful output reaches the people doing the work.
Working output in weeks, then expansion into the routines that matter.
Sample engagement
Week 0
Scope + Wire
Define the operating outcome, collect real sample documents, build a proof-of-concept prototype and map the target architecture around the current stack.
Example: tender packs, drawings, DOs, invoices, site records and project folders connected into the first reviewable path.
Week 2
Wire + Iterate
Turn the prototype into a working workflow with extraction rules, review screens, routing logic and the first checks against expected outputs.
Example: draft-to-DXF, invoice matching, RFQ intake or project-control workflow running on a small live sample.
Week 4
Field
Run UAT with operating users on live drawings, claims, invoices, RFQs or approvals. Capture exceptions, missed fields, bad matches and approval edge cases.
Example: scored UAT pack, issue log, user corrections and priority fixes.
Weeks 6-10
Iterate + Field
Tune the workflow against higher project volume. Add checks for exceptions, cost impact, claim risk, compliance gaps and customer-specific requirements.
Example: hardened rules, golden sets, exception queue and support routine.
Weeks 10-12
Transfer
Close defects, document known limitations and hand over the runbooks, configs and release process to the operating leads who will own the workflow.
Example: production release, handover pack, support plan and next-workflow backlog.
What accelerates delivery
We bring prototype templates for tenders, invoices, drawings and project controls, then adapt them to your workflows and documents.
SmartDoc™ reads tender packs, DOs, invoices, claims and site records, then pulls out the fields users need with source evidence.
We define how each document, drawing or record should be read, routed, checked and matched to the right workflow step.
We test outputs against known-good examples, so teams can see where the workflow is accurate, weak or ready for production.
We connect the workflow to existing ERPs, folders and review tools, with clear rules for retries, fallbacks and write-backs.
The workflow is handed over as versioned skills, configs, runbooks and scripts that your team can inspect and extend.
Production systems
Project contractor and engineering firm
A SmartOS™ production build above existing project files, connecting nine routines across tendering, bill of quantities, PO generation, payables, receivables, timesheets and invoice matching. Productivity measured through UAT on one live project lifecycle.
Tender packs · BQs · POs · timesheets · progress claims
Read how it was builtInterior design firm
Real ceiling-cove drawings turned into per-piece DXF outputs with preview confirmation and verification checks, reaching useful 80 to 90 percent first-pass drafting output on well-specified runs. CAD automation normally takes months.
AutoCAD drawings · DXF output · cut lists · shop drawings
Read how it was builtFacilities management
DO, PO and invoice matching plus RFQ intake added into the in-house platform, reducing manual finance checking, lowering leakage risk and speeding tender-record preparation.
Delivery orders · RFQs · vendor invoices · service records
See the matching workflowThe Swift™ Approach is the method. SmartWork™ is how we run it as a fixed-scope sprint, and our customers show what it has produced.